Alternatives to Paradise
Compare Paradise alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Paradise in 2026. Compare features, ratings, user reviews, pricing, and more from Paradise competitors and alternatives in order to make an informed decision for your business.
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1
NovaFori
NovaFori
We are a cutting-edge technology company based in London and Malaga, with a decade of experience in combining business analysis, marketplace design, development and data science. Our technology supports B2B and B2C clients in Europe, North America and Asia, with over $11 billion GMV transacted through our platforms since inception. Our auction and trading platform, powered by data science, is deployed across multiple industries, including commodities, financial services, logistics and procurement. The technology platform is flexible, scalable and modular, designed with a B2C user experience and complex product attributes of the B2B world in mind. We leverage data by using machine learning algorithms to understand what's happening in the market, predict future trends and optimise marketplace performance. -
2
Labelbox
Labelbox
The training data platform for AI teams. A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs. Powerful image labeling tool for image classification, object detection and segmentation. When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more. Performant video labeling editor for cutting-edge computer vision. Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster. Creating training data for natural language intelligence has never been easier. Label text strings, conversations, paragraphs, and documents with fast & customizable classification. -
3
AttributeStudio
geomodeling
AttributeStudio is a multi-attribute seismic interpretation and reservoir property prediction software package. A true integrated software system for seismic and well data interpretation and integration. Easy to use. The system is designed by geoscientists for geoscientists. All industrial standard data formats are supported in data I/O. Comprehensive: including both basic interpretation workflows and advanced modules to predict reservoir properties via the latest machine learning algorithms. Latest innovations. Frequent updates including the latest innovation in seismic interpretation, visualization, and machine learning. Robust. AttributeStudio is built on a solid software architecture that has been fine-tuned for 20 years. Affordable. You only need to license the modules that are required in your work. Corporate team licenses are available at a discount rate. Fault surface tracking is constrained by multiple attributes. Interactive attribute classification on 2D and 3D cross plots. -
4
Aspen SeisEarth
Aspen Technology
Fast, multi-survey structural and stratigraphic interpretation and visualization, enabling multiple users to collaborate in a single shared environment. Reliable prediction of facies identified from well data through integrated analysis of multi-scale geological, geophysical and seismic information. A comprehensive, integrated solution for seismic interpretation, including industry-leading facies classification and volume visualization workflows. Regional-to-prospect scale interpretation and visual integration. Easily share projects and data with other team members, with no duplication. Interactivity and consistency between views accelerate the interpretation process, taking full advantage of high-speed graphics, large memory and fast connectivity of modern workstations. A simple, intuitive user interface and a highly ergonomic design make workflows more efficient with fewer clicks. -
5
PaleoScan
Eliis
PaleoScan is a seismic interpretation software based on a semi-automated approach that produces chrono-stratigraphically consistent geological models. This unique technology, patented in 2009, allows our clients to accelerate their seismic interpretation cycle, scan the subsurface in real time to focus on high-potential areas, and identify hydrocarbon accumulation or CO2 storage areas. Another significant advantage of PaleoScan is its ability to produce a 3D geological model of the entire seismic cube, which allows the visualization and interpretation of the geological reservoirs as well as the overlying layers up to the seabed, in order to establish a reliable ranking of the storage reservoirs, taking into consideration the risks inherent to gas injection. At the confluence of powerful algorithms, computational power, and data analysis, our revolutionary technology pushes your seismic interpretation to an unprecedented level. -
6
scikit-learn
scikit-learn
Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.Starting Price: Free -
7
Nyckel
Nyckel
Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complex “we-do-it-all” AI/ML tools is hard. Especially if you’re not a machine learning expert. That’s why Nyckel built a platform that makes image and text classification easy for everyone. In just a few minutes, you can train an AI model to identify attributes of any image or text. Whether you’re sorting through images, moderating text, or needing real-time content labeling, Nyckel lets you build a custom classifier in just 5 minutes. And with our Classification API, you can auto-label at scale. Nyckel’s goal is to make AI-powered classification a practical tool for anyone. Learn more at Nyckel.com.Starting Price: Free -
8
g-Space
Geomage
Geomage g-Space™ is a complete structural, geological and geophysical interpretation software that allows thorough analysis of existing seismic and well data. This software allows: - Horizon and Fault picking - Geological modeling - Map creation with faults - Well-tie and dynamic update - Well correlation - Mis-tie workflow - Velocity model based on checkshots and horizons - Simultaneous time/depth picking - Static modeling - Volumetric calculation - etc, etc, etc and more…Starting Price: $1,200/year/user -
9
Accelerate your deep learning workload. Speed your time to value with AI model training and inference. With advancements in compute, algorithm and data access, enterprises are adopting deep learning more widely to extract and scale insight through speech recognition, natural language processing and image classification. Deep learning can interpret text, images, audio and video at scale, generating patterns for recommendation engines, sentiment analysis, financial risk modeling and anomaly detection. High computational power has been required to process neural networks due to the number of layers and the volumes of data to train the networks. Furthermore, businesses are struggling to show results from deep learning experiments implemented in silos.
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10
Alibaba Cloud Machine Learning Platform for AI
Alibaba Cloud
An end-to-end platform that provides various machine learning algorithms to meet your data mining and analysis requirements. Machine Learning Platform for AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation. Machine learning platform for AI combines all of these services to make AI more accessible than ever. Machine Learning Platform for AI provides a visualized web interface allowing you to create experiments by dragging and dropping different components to the canvas. Machine learning modeling is a simple, step-by-step procedure, improving efficiencies and reducing costs when creating an experiment. Machine Learning Platform for AI provides more than one hundred algorithm components, covering such scenarios as regression, classification, clustering, text analysis, finance, and time series.Starting Price: $1.872 per hour -
11
Orange
University of Ljubljana
Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that. -
12
BigML
BigML
Machine Learning made beautifully simple for everyone. Take your business to the next level with the leading Machine Learning platform. Start making data-driven decisions today! No more wildly expensive or cumbersome solutions. Machine Learning that simply works. BigML provides a selection of robustly-engineered Machine Learning algorithms proven to solve real world problems by applying a single, standardized framework across your company. Avoid dependencies on many disparate libraries that increase complexity, maintenance costs, and technical debt in your projects. BigML facilitates unlimited predictive applications across industries including aerospace, automotive, energy, entertainment, financial services, food, healthcare, IoT, pharmaceutical, transportation, telecommunications, and more. Supervised Learning: classification and regression (trees, ensembles, linear regressions, logistic regressions, deepnets), and time series forecasting.Starting Price: $30 per user per month -
13
alvaDesc
Alvascience
alvaDesc is a cheminformatics software for the calculation and analysis of molecular descriptors, fingerprints, and structural patterns for QSAR, QSPR, read-across, and machine learning applications. It computes more than 5,000 molecular descriptors (0D–3D), including constitutional, topological, geometrical, electronic, physicochemical, and fragment-based descriptors. The software also generates molecular fingerprints and structural pattern counts for similarity analysis, clustering, and classification. Integrated tools support descriptor filtering and correlation analysis for robust and reproducible modeling. alvaDesc integrates seamlessly with KNIME and Python, enabling efficient connection to external data analysis and machine learning workflows. It is widely used in academic and industrial research and supported by extensive documentation and scientific publications. -
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Oracle Machine Learning
Oracle
Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface. -
15
Torch
Torch
Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. The goal of Torch is to have maximum flexibility and speed in building your scientific algorithms while making the process extremely simple. Torch comes with a large ecosystem of community-driven packages in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking among others, and builds on top of the Lua community. At the heart of Torch are the popular neural network and optimization libraries which are simple to use, while having maximum flexibility in implementing complex neural network topologies. You can build arbitrary graphs of neural networks, and parallelize them over CPUs and GPUs in an efficient manner. -
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Fizix
Fizix
Fizix's Mate is a cloud-based smart machine health monitoring platform that enables users to oversee machinery through a secure, web-based interface accessible from any internet-connected device. It offers real-time anomaly detection and fault prediction by analyzing machine attributes, operational conditions, and sensor data, utilizing machine learning algorithms to enhance predictive accuracy over time. The platform's digital twin-based architecture allows for easy design and monitoring of machine systems, while providing alarm notifications and integration with external systems like ERP and CMMS for comprehensive maintenance planning. -
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QFlow.ai
QFlow.ai
The machine learning platform that unifies data, orchestrates intelligent behavior across revenue-generating teams, and delivers out-of-the-box attribution & actionable analytics. QFlow.ai processes the gigabytes of data that your Salesforce.com instance is collecting in its activity table. We normalize, trend, and analyze sales effort to help you generate more opportunities and win more deals. QFlow.ai uses data engineering to break down outbound activity reporting based on a crucial factor: whether or not they were productive. It also automatically surfaces critical metrics like average days from first activity to opp creation and average days from opp creation to close. Sales Effort data can be filtered by team or by an individual to understand sales activity, and productivity trends over time.Starting Price: $699 per month -
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Neural Designer
Artelnics
Neural Designer is a powerful software tool for developing and deploying machine learning models. It provides a user-friendly interface that allows users to build, train, and evaluate neural networks without requiring extensive programming knowledge. With a wide range of features and algorithms, Neural Designer simplifies the entire machine learning workflow, from data preprocessing to model optimization. In addition, it supports various data types, including numerical, categorical, and text, making it versatile for domains. Additionally, Neural Designer offers automatic model selection and hyperparameter optimization, enabling users to find the best model for their data with minimal effort. Finally, its intuitive visualizations and comprehensive reports facilitate interpreting and understanding the model's performance.Starting Price: $2495/year (per user) -
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Geophysics by SeisWare
SeisWare
Geophysics by SeisWare is a seismic interpretation solution with all the tools needed to interpret conventional and unconventional plays in one comprehensive package. Fully scalable, large projects can be shared between asset team members. Better yet, the straightforward interface makes it easy to learn, so time can be spent on achieving results, not fighting your software. Geophysics by SeisWare is now featured in our comprehensive geoscience package. Are you looking for a complete geoscience solution that does seismic interpretation, synthetic generation, and petrophysical calculations and launch a cross section in multiple windows at one time? SeisWare Geoscience is a 64 bit, high-performance solution, meaning you can double your data without doubling time spent. SeisWare Geoscience is a true multitasking, multi-user tool that will wrap your geologic and seismic interpretation into one seamless package. -
20
Scalarr
Scalarr
Laser-focused mobile ad fraud detection with Machine Learning. When it comes to protecting against the biggest mobile advertising threats, Scalarr’s dual-layered, next-generation, Machine Learning algorithms detect a variety of in-app fraud with dramatically improved accuracy of up to 97%. Test out Scalarr! Overview, inspect, and prevent mobile app install ad fraud with unsupervised machine learning capabilities, before any damage is done. Scalarr applies both unsupervised and semi-supervised machine learning algorithms to automatically detect and recognize fraud patterns from huge amounts of data. It analyzes hundreds of clicks, installs, and post-install event features and variables, thus effectively reducing the number of false-positive and false-negative errors. With an advanced model view focused on the accuracy of results and completeness, Scalarr is a powerful tool that delivers meaningful outputs on the level of each conversion. -
21
MLBox
Axel ARONIO DE ROMBLAY
MLBox is a powerful Automated Machine Learning python library. It provides the following features fast reading and distributed data preprocessing/cleaning/formatting, highly robust feature selection and leak detection, accurate hyper-parameter optimization in high-dimensional space, state-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM), and prediction with models interpretation. MLBox main package contains 3 sub-packages: preprocessing, optimization and prediction. Each one of them are respectively aimed at reading and preprocessing data, testing or optimizing a wide range of learners and predicting the target on a test dataset. -
22
Key Ward
Key Ward
Extract, transform, manage, & process CAD, FE, CFD, and test data effortlessly. Create automatic data pipelines for machine learning, ROM, & 3D deep learning. Removing data science barriers without coding. Key Ward's platform is the first end-to-end engineering no-code solution that redefines how engineers interact with their data, experimental & CAx. Through leveraging engineering data intelligence, our software enables engineers to easily handle their multi-source data, extract direct value with our built-in advanced analytics tools, and custom-build their machine and deep learning models, all under one platform, all with a few clicks. Automatically centralize, update, extract, sort, clean, and prepare your multi-source data for analysis, machine learning, and/or deep learning. Use our advanced analytics tools on your experimental & simulation data to correlate, find dependencies, and identify patterns.Starting Price: €9,000 per year -
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Connexun
connexun
B.I.R.B.AL., our proprietary artificial intelligence engine, has been trained by using a database with over a million articles in different languages, applying state of the art models of Natural Language Processing (NLP). B.I.R.B.AL.’s technology includes machine learning classification, interlanguage clustering, news topics ranking, extraction-based summarization and other features to help filter news for different types of users and for different types of applications. B.I.R.B.AL. uses supervised and unsupervised machine learning algorithms powered by Deep Learning. Go beyond online content monitoring using our artificial intelligence and predict the most relevant topics on the web. Gain strategic insights by collecting and studying extended amounts of data and information. Broaden your financial analysis with rich web data sets. Understand performance trends with a new instrument and apply structured web data to your predictive analytics and risk modeling.Starting Price: $9.99 per month -
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MetaEyes
MetaEyes
Reveal a wealth of information with powerful image recognition technology to analyze images even those with no hashtags. You can use any hashtag to monitor and categorize Instagram content. It can range from generic hashtags (e.g. #breakfast) or event-specific (e.g. #christmas) and of course brand specific (e.g. #starbucks) Using state of the art machine learning, MetaEyes recognizes the ingested photos, tags them, and categorizes them - all of this with no human intervention. Easy to use reporting providing summary and detailed analytics. Easy filtering and sorting with powerful export functionality. Detect one or more human faces in an image and get face attributes that contain machine learning-based predictions of facial features. The face attribute features available are: Age, Gender, Smile, Facial Hair and Glasses detection. Automatically detect and tag explicit content like adult content or violent content within an image. -
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Produvia
Produvia
Produvia is a serverless machine-learning development service. Partner with Produvia to develop and deploy machine models using serverless cloud infrastructure. Fortune 500 companies and Global 500 enterprises partner with Produvia to develop and deploy machine learning models using modern cloud infrastructure. At Produvia, we use state-of-the-art methods in machine learning and deep learning technologies to solve business problems. Organizations overspend on infrastructure costs. Modern organizations use serverless architectures to reduce server costs. Organizations are held back by complex servers and legacy code. Modern organizations use machine learning technologies to rewrite technology stacks. Companies hire software developers to write code. Modern companies use machine learning to develop software that writes code.Starting Price: $1,000 per month -
26
Folio3
Folio3 Software
Folio3 machine learning company has a team of dedicated Data Scientists and Consultants that have delivered end-to-end projects related to machine learning, natural language processing, computer vision and predictive analysis. Artificial Intelligence and Machine Learning algorithms have enabled companies to utilize highly-customized solutions equipped with advanced Machine Learning capabilities. Computer vision technology has scaled up visual data analysis, introduced new image- based functionalities and transformed the way companies from various verticals utilize visual content. Predictive analytics solutions offered by Folio3 produce effective and fast results, enabling you to identify opportunities and anomalies in your business processes and strategy. -
27
ML.NET
Microsoft
ML.NET is a free, open source, and cross-platform machine learning framework designed for .NET developers to build custom machine learning models using C# or F# without leaving the .NET ecosystem. It supports various machine learning tasks, including classification, regression, clustering, anomaly detection, and recommendation systems. ML.NET integrates with other popular ML frameworks like TensorFlow and ONNX, enabling additional scenarios such as image classification and object detection. It offers tools like Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the process of building, training, and deploying high-quality models. These tools automatically explore different algorithms and settings to find the best-performing model for a given scenario.Starting Price: Free -
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FACT360
FACT360
AI and unsupervised Machine Learning finds your critical information. Using the latest AI and unsupervised machine learning technology to analyze communication networks, FACT360 uncovers information that is critical to your organization or investigation, generating results that are impossible to achieve in other ways. Analyze communication flows and networks to uncover critical information. Millions of emails, messages and documents processed in real-time. AI and ML analysis identifies key individuals, documents and events. Customizable dashboards provide actionable insights. Identify exceptional activity without the need for user-defined rules or custom configuration. Early warning system to identify threats as they arise. Find key evidence during historical investigations. Identify key individuals based on activity, not intuition. A rational basis on which to take strategic decisions. Unsupervised Machine Learning with no need for user-defined rules or custom configuration. -
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Geology by SeisWare
SeisWare
Geology by SeisWare is a fast and intuitive interpretation tool that enables efficient geological workflows. Our Petrophysical Calculator is a client favorite; create and customize calculations like net pay, assign zone attributes, and more! You’re the expert so we develop our software with your advice and guidance. We’ve shaped our software with client focus groups and user feedback. Our software packages work together so that your team can too! Geology is fully integrated with Geophysics by SeisWare for seamless data integration and fast results without importing and exporting data. Your plans move fast, so our software needs to keep up. Geology by SeisWare is intuitive and responsive. You’ll be surprised how fast you can go! Run multiple calculations in sequence with a variety of inputs like log curves, log curve aliases, zone attributes, and previous calculation outputs. Perform aggregate functions such as summations and averages over data. -
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i-PRO Active Guard
i-PRO
i-PRO Active Guard is cutting edge intelligent search application with the following features. With the combination of i-PRO camera and deep learning technology, you can quickly search for images from attribute information of people and vehicles. It supports the number of attributes of people and vehicles in the top class of the surveillance industry. Edge analytics eliminates the need for expensive analysis servers and provides low cost. -
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SHARK
SHARK
SHARK is a fast, modular, feature-rich open-source C++ machine learning library. It provides methods for linear and nonlinear optimization, kernel-based learning algorithms, neural networks, and various other machine learning techniques. It serves as a powerful toolbox for real-world applications as well as research. Shark depends on Boost and CMake. It is compatible with Windows, Solaris, MacOS X, and Linux. Shark is licensed under the permissive GNU Lesser General Public License. Shark provides an excellent trade-off between flexibility and ease-of-use on the one hand, and computational efficiency on the other. Shark offers numerous algorithms from various machine learning and computational intelligence domains in a way that they can be easily combined and extended. Shark comes with a lot of powerful algorithms that are to our best knowledge not implemented in any other library. -
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Tatvic Badger
Tatvic
Badger digs through tonnes of analytical data to generate automated insights that make business sense. It is a machine learning SaaS that performs automated website analysis and auto-configured work with almost any analytical data source (read Google Analytics, Google PlayStore, Search Console, and more). It uncovers the change impact of multiple attributes and events on your business metrics. Automated website analysis generates user stories on your web and app analytics data in a matter of minutes. Utilizes machine learning models to generate stories on the most significant changes in your business. Process your analytics data using in-built models with an automated website analysis to reduce long hours of data collection, processing, and further analysis. Built on open architecture to integrate multiple web or app analytical sources without any complex configuration. This product will increase your operational efficiency and aid in yielding better ROI. -
33
Enlyft
Enlyft
Enlyft helps B2B companies generate better leads, close more deals, and acquire more customers - faster. Enlyfts AI-driven customer intelligence platform leverages machine learning to profile and predict the buying behavior of millions of companies worldwide, based on technology use, hundreds of business attributes, and real-time buyer intent signals. Increase sales by quickly discovering, prioritizing and engaging with prospects likely to buy your solution. Enlyft’s proprietary data platform contains real-time information on company firmographics, technology usage, buying intent signals and hundreds of additional account attributes. Leverage dedicated machine learning based models to predict future outcomes, by combining Enlyft’s comprehensive account insights with your customer history. Seamlessly integrate account insights into popular B2B Sales and Marketing platforms like Salesforce, HubSpot, Dynamics 365, LinkedIn, and more. Enrich records and keep data fresh. -
34
UnifyID
UnifyID
Use UnifyID's authentication platform to remove passwords and one-time passcodes (OTP) from your user experience while improving security and consumer convenience. UnifyID offers Multi-Factor Authentication services that combine deterministic, behavioral biometric and environmental attributes using machine learning to uniquely identify users. Applies advanced machine learning to behavioral biometrics and environmental factors to create a secure digital fingerprint of the user. Passive authentication eliminates painful user experiences, causing poor adoption for Multi-Factor Authentication programs. Say goodbye to annoying passcodes, security questions or even passwords altogether. Our patent-pending technology leverages dynamic user attributes, such as motion and environment, which are neither known by the user nor remotely observable by an attacker; eliminating phishing and bot threats. We designed our solution with developers in mind. -
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Maptek GeologyCore
Maptek
Maptek GeologyCore streamlines the geology workflow from importing and validating drillhole data, through defining geological domains to generating accurate, reliable models. The smart workflow from data preparation to published model automates daily tasks, allowing geologists more time to focus on higher value work. Processes are intuitively grouped for importing and validating drillhole data, defining domains before generating and publishing geological models. Repeatable steps allow for easy experimentation, with changes to domains reflected immediately on the model. GeologyCore is suitable for a wide range of projects and offers a cloud-based machine learning option alongside conventional modeling methods such as vein and implicit modeling.Starting Price: $950/month -
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EyeRecognize
EyeRecognize
Our image and video recognition APIs are proven, highly scalable, and leverage deep learning technology that you can implement within your own applications without prior knowledge of machine learning expertise. EyeRecognize’s suite of image and video recognition API services allow you to identify objects, people, text, scenes, and activities in images and videos, as well as detect any faces and NSFW content. Face Detection and Analysis, detect all face in images and video and get attributes such as face location, gender, age, eyes, and even emotion. Text Detection, extract text from images such as license plates, street signs, advertising, and brand names. Identify NSFW "Not Safe for Work" and other potentially inappropriate content across both image and video. The team behind EyeRecognize has been collectively developing artificial intelligence powered applications for over 40 years and first pioneered the use of machine learning to automate content moderation for social media. -
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JADBio AutoML
JADBio
JADBio is a state-of-the-art automated Machine Learning Platform without the need for coding. With its breakthrough algorithms it can solve open problems in machine learning. Anybody can use it and perform a sophisticated and correct machine learning analysis even if they do not know any math, statistics, or coding. It is purpose-built for life science data and particularly molecular data. This means that it can deal with the idiosyncrasies of molecular data such as very low sample size and very high number of measured quantities that could reach to millions. Life scientists need it to understand what are the features and biomarkers that are predictive and important, what is their role, and get intuition about the molecular mechanisms involved. Knowledge discovery is often more important than a predictive model. So, JADBio focuses on feature selection and its interpretation.Starting Price: Free -
38
NetOwl EntityMatcher
NetOwl
NetOwl EntityMatcher provides accurate, fast, and scalable identity resolution based not only on similarities of the entity names but also other key entity attributes such as date of birth, place of birth, address, and nationality. Identity resolution can also be based on social network information such as employer, spouse, associate, etc. NetOwl performs identity resolution based on any combination of available entity record attributes by utilizing its unique proprietary search and indexing engine that allows combination of evidence from multiple matching attributes in a highly robust, scalable, and intuitive fashion. Application-specific business rules can be implemented by determining what combination of record attributes should be matched and what weights should be assigned to each attribute. NetOwl leverages our machine learning-based multicultural, multi-lingual name matching product, NetOwl NameMatcher, to enable sophisticated name matching of various entity types. -
39
Hive AutoML
Hive
Build and deploy deep learning models for custom use cases. Our automated machine learning process allows customers to create powerful AI solutions built on our best-in-class models and tailored to the specific challenges they face. Digital platforms can quickly create models specifically made to fit their guidelines and needs. Build large language models for specialized use cases such as customer and technical support bots. Create image classification models to better understand image libraries for search, organization, and more. -
40
Oracle Data Science
Oracle
A data science platform that improves productivity with unparalleled abilities. Build and evaluate higher-quality machine learning (ML) models. Increase business flexibility by putting enterprise-trusted data to work quickly and support data-driven business objectives with easier deployment of ML models. Using cloud-based platforms to discover new business insights. Building a machine learning model is an iterative process. In this ebook, we break down the process and describe how machine learning models are built. Explore notebooks and build or test machine learning algorithms. Try AutoML and see data science results. Build high-quality models faster and easier. Automated machine learning capabilities rapidly examine the data and recommend the optimal data features and best algorithms. Additionally, automated machine learning tunes the model and explains the model’s results. -
41
Sharky Neural Network
SharkTime Software
Sharky Neural Network is a Windows application providing a visual, interactive introduction to machine learning. This free software serves as a playground for experimenting with neural network classification in real-time. Instead of relying on static charts, Sharky offers a "live view" of the learning process. You can watch the network adjust its classification boundaries like a movie unfolding on your screen. Users can swap architectures and data shapes to see how topology affects results. The app uses the backpropagation algorithm with optional momentum to give you direct control over learning dynamics. Perfect for students and hobbyists, Sharky Neural Network makes hidden layers and data clustering intuitive. It is a lightweight tool that effectively bridges the gap between theory and practice.Starting Price: $0 -
42
Google Cloud AutoML
Google
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. Cloud AutoML leverages more than 10 years of proprietary Google Research technology to help your machine learning models achieve faster performance and more accurate predictions. Use Cloud AutoML’s simple graphical user interface to train, evaluate, improve, and deploy models based on your data. You’re only a few minutes away from your own custom machine learning model. Google’s human labeling service can put a team of people to work annotating or cleaning your labels to make sure your models are being trained on high-quality data. -
43
Strong Analytics
Strong Analytics
Our platforms provide a trusted foundation upon which to design, build, and deploy custom machine learning and artificial intelligence solutions. Build next-best-action applications that learn, adapt, and optimize using reinforcement-learning based algorithms. Custom, continuously-improving deep learning vision models to solve your unique challenges. Predict the future using state-of-the-art forecasts. Enable smarter decisions throughout your organization with cloud based tools to monitor and analyze. The process of taking a modern machine learning application from research and ad-hoc code to a robust, scalable platform remains a key challenge for experienced data science and engineering teams. Strong ML simplifies this process with a complete suite of tools to manage, deploy, and monitor your machine learning applications. -
44
Weka
University of Waikato
Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued under the GNU General Public License. We have put together several free online courses that teach machine learning and data mining using Weka. The videos for the courses are available on Youtube. An exciting and potentially far-reaching development in computer science is the invention and application of methods of machine learning (ML). These enable a computer program to automatically analyze a large body of data and decide what information is most relevant. This crystallized information can then be used to automatically make predictions or to help people make decisions faster. -
45
Azure Machine Learning
Microsoft
Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R. -
46
DeepNLP
SparkCognition
SparkCognition, a leading industrial AI company, has developed a natural language processing solution that automates workflows of unstructured data within organizations so humans can focus on high-value business decisions. The DeepNLP product uses advanced machine learning techniques to automate the retrieval of information, the classification of documents, and content analytics. The DeepNLP product integrates into existing workflows to enable organizations to better respond to changes in their business and quickly get answers to specific queries or analytics that support decision-making. -
47
IceCream Labs
IceCream Labs
We help our clients leverage visual AI to solve real-world business problems. Our team of skilled data scientists and machine learning engineers will quickly train and deliver highly precise and accurate machine learning models for your visual data. IceCream Labs is the leading enterprise AI solution company. IceCream Labs provides solutions for retail, digital media and higher education. The company’s expertise is developing machine learning and deep learning models to solve real world business problems using text, image and numerical data. Try IceCream Labs if your business handles visual data like images, video and documents. If you need to identify what’s in an image or a document, we can help you. If you need to quickly train and deploy a machine learning model, IceCream Labs is the answer. Talk to our AI experts and get sales performance improvements across your product line. -
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Alitheon FeaturePrint
Alitheon
Every physical object is unique. Our technology can distinguish any solid object from even visually identical items based on the object itself – there is no need for serialization, bar codes, RFID, etc. It can be used for object identification and authentication at low cost with statistically perfect results. This new branch of machine vision is called FeaturePrint™. As each person has unique fingerprints, every physical object has unique surface characteristics that distinguish it from all other items. Once an object is registered, its FeaturePrint is stored securely in the cloud. At any time, the object’s identity can be confirmed using something as pervasive as a smartphone. Our patented technology uses advanced machine vision, neural networks, and deep learning to identify each object from its unique properties without dependence on RFID, bar codes or other proxies. The identification of the object is inherent in the object itself. -
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Predibase
Predibase
Declarative machine learning systems provide the best of flexibility and simplicity to enable the fastest-way to operationalize state-of-the-art models. Users focus on specifying the “what”, and the system figures out the “how”. Start with smart defaults, but iterate on parameters as much as you’d like down to the level of code. Our team pioneered declarative machine learning systems in industry, with Ludwig at Uber and Overton at Apple. Choose from our menu of prebuilt data connectors that support your databases, data warehouses, lakehouses, and object storage. Train state-of-the-art deep learning models without the pain of managing infrastructure. Automated Machine Learning that strikes the balance of flexibility and control, all in a declarative fashion. With a declarative approach, finally train and deploy models as quickly as you want. -
50
Text2Mesh
Text2Mesh
Text2Mesh produces color and geometric details over a variety of source meshes, driven by a target text prompt. Our stylization results coherently blend unique and ostensibly unrelated combinations of text, capturing both global semantics and part-aware attributes. Our framework, Text2Mesh, stylizes a 3D mesh by predicting color and local geometric details which conform to a target text prompt. We consider a disentangled representation of a 3D object using a fixed mesh input (content) coupled with a learned neural network, which we term neural style field network. In order to modify style, we obtain a similarity score between a text prompt (describing style) and a stylized mesh by harnessing the representational power of CLIP. Text2Mesh requires neither a pre-trained generative model nor a specialized 3D mesh dataset. It can handle low-quality meshes (non-manifold, boundaries, etc.) with arbitrary genus, and does not require UV parameterization.
