Alternatives to GigaChat

Compare GigaChat alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to GigaChat in 2026. Compare features, ratings, user reviews, pricing, and more from GigaChat competitors and alternatives in order to make an informed decision for your business.

  • 1
    Amazon Translate
    Amazon Translate is a neural machine translation service that provides fast, high-quality, accessible language translation. Neural machine translation is a way of automating translations between languages that uses deep learning models to deliver more natural and accurate translations than traditional statistical and rule-based translation algorithms. With Amazon Translate, you can localize content such as websites and applications for multiple users, translate large volumes of text for analysis with ease, and enable effective communication between users of different languages. Amazon Translate is a neural machine translation service. Translation engines are constantly getting better with new and expanded data sets to produce more accurate translations for a wide range of use cases. Amazon Translate removes the complexity of integrating real-time and batch translation capabilities into your applications with a simple API call.
    Starting Price: $ 15 per million characters
  • 2
    GigaChat 3 Ultra
    GigaChat 3 Ultra is a 702-billion-parameter Mixture-of-Experts model built from scratch to deliver frontier-level reasoning, multilingual capability, and deep Russian-language fluency. It activates just 36 billion parameters per token, enabling massive scale with practical inference speeds. The model was trained on a 14-trillion-token corpus combining natural, multilingual, and high-quality synthetic data to strengthen reasoning, math, coding, and linguistic performance. Unlike modified foreign checkpoints, GigaChat 3 Ultra is entirely original—giving developers full control, modern alignment, and a dataset free of inherited limitations. Its architecture leverages MoE, MTP, and MLA to match open-source ecosystems and integrate easily with popular inference and fine-tuning tools. With leading results on Russian benchmarks and competitive performance on global tasks, GigaChat 3 Ultra represents one of the largest and most capable open-source LLMs in the world.
    Starting Price: Free
  • 3
    NeuroIntelligence
    NeuroIntelligence is a neural networks software application designed to assist neural network, data mining, pattern recognition, and predictive modeling experts in solving real-world problems. NeuroIntelligence features only proven neural network modeling algorithms and neural net techniques; software is fast and easy-to-use. Visualized architecture search, neural network training and testing. Neural network architecture search, fitness bars, network training graphs comparison. Training graphs, dataset error, network error, weights and errors distribution, neural network input importance. Testing, actual vs. output graph, scatter plot, response graph, ROC curve, confusion matrix. The interface of NeuroIntelligence is optimized to solve data mining, forecasting, classification and pattern recognition problems. You can create a better solution much faster using the tool's easy-to-use GUI and unique time-saving capabilities.
    Starting Price: $497 per user
  • 4
    NVIDIA PhysicsNeMo
    NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.
    Starting Price: Free
  • 5
    YandexART
    YandexART is a diffusion neural network by Yandex designed for image and video creation. This new neural network ranks as a global leader among generative models in terms of image generation quality. Integrated into Yandex services like Yandex Business and Shedevrum, it generates images and videos using the cascade diffusion method—initially creating images based on requests and progressively enhancing their resolution while infusing them with intricate details. The updated version of this neural network is already operational within the Shedevrum application, enhancing user experiences. YandexART fueling Shedevrum boasts an immense scale, with 5 billion parameters, and underwent training on an extensive dataset comprising 330 million pairs of images and corresponding text descriptions. Through the fusion of a refined dataset, a proprietary text encoder, and reinforcement learning, Shedevrum consistently delivers high-calibre content.
  • 6
    Zebra by Mipsology
    Zebra by Mipsology is the ideal Deep Learning compute engine for neural network inference. Zebra seamlessly replaces or complements CPUs/GPUs, allowing any neural network to compute faster, with lower power consumption, at a lower cost. Zebra deploys swiftly, seamlessly, and painlessly without knowledge of underlying hardware technology, use of specific compilation tools, or changes to the neural network, the training, the framework, and the application. Zebra computes neural networks at world-class speed, setting a new standard for performance. Zebra runs on highest-throughput boards all the way to the smallest boards. The scaling provides the required throughput, in data centers, at the edge, or in the cloud. Zebra accelerates any neural network, including user-defined neural networks. Zebra processes the same CPU/GPU-based trained neural network with the same accuracy without any change.
  • 7
    GigaBrain

    GigaBrain

    GigaBrain

    GigaBrain scans billions of discussions on Reddit and other online communities to find the most useful posts and comments for you. We scan billions of comments from online discussion threads to find you answers. We automatically thread together the most useful answers with source citations. Fine-tune results by rating comments based on their relevance to your search. Post your own questions through GigaPost to be syndicated to all relevant subreddits. Early access to new features that help you find out what real people think. GigaBrain scans billions of online discussions from Reddit and other online communities to find you the most relevant and authentic comments and posts. Cut through the noise to find the nuggets of wisdom from the most active online communities.
  • 8
    Neural Designer
    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)
  • 9
    Vectara

    Vectara

    Vectara

    Vectara is LLM-powered search-as-a-service. The platform provides a complete ML search pipeline from extraction and indexing to retrieval, re-ranking and calibration. Every element of the platform is API-addressable. Developers can embed the most advanced NLP models for app and site search in minutes. Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more. Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding. Segment data into any number of indexes storing vector encodings optimized for low latency and high recall. Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models. Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results. Zero in on the true likelihoods that the retrieved response represents a probable answer to the query.
    Starting Price: Free
  • 10
    NeuroShell Trader

    NeuroShell Trader

    NeuroShell Trader

    If you have a set of favorite indicators but don't have a set of profitable trading rules, the pattern recognition of an artificial neural network may be the solution. Neural networks analyze your favorite indicators, recognize multi-dimensional patterns too complex to visualize, predict, and forecast market movements, and then generate trading rules based on those patterns, predictions, and forecasts. With NeuroShell Trader's proprietary fast training 'Turboprop 2' neural network you no longer need to be a neural network expert. Inserting neural network trading is as easy as inserting an indicator. NeuroShell Trader's point-and-click interface allows you to easily create automated trading systems based on technical analysis indicators and neural network market forecasts without any code or programming.
    Starting Price: $1,495 one-time payment
  • 11
    Blue Hexagon

    Blue Hexagon

    Blue Hexagon

    We’ve designed our real-time deep learning platform to deliver speed of detection, efficacy and coverage that sets a new standard for cyber defense. We train our neural networks with global threat data that we’ve curated carefully via threat repositories, dark web, our deployments and from partners. Just like layers of neural networks can recognize your image in photos, our proprietary architecture of neural networks can identify threats in both payloads and headers. Every day, Blue Hexagon Labs validates the accuracy of our models with new threats in the wild. Our neural networks can identify a wide range of threats — file and fileless malware, exploits, C2 communications, malicious domains across Windows, Android, Linux platforms. Deep learning is a subset of machine learning that uses multi-layered artificial neural networks to learn data representation.
  • 12
    Neuralhub

    Neuralhub

    Neuralhub

    Neuralhub is a system that makes working with neural networks easier, helping AI enthusiasts, researchers, and engineers to create, experiment, and innovate in the AI space. Our mission extends beyond providing tools; we're also creating a community, a place to share and work together. We aim to simplify the way we do deep learning today by bringing all the tools, research, and models into a single collaborative space, making AI research, learning, and development more accessible. Build a neural network from scratch or use our library of common network components, layers, architectures, novel research, and pre-trained models to experiment and build something of your own. Construct your neural network with one click. Visually see and interact with every component in the network. Easily tune hyperparameters such as epochs, features, labels and much more.
  • 13
    Rezo

    Rezo

    Corrz TechnoSolutions

    Automate Conversations. Automate Actions. An AI Powered platform that automates conversations, reduce resolution time and enhances customer experience over Voice, Email, Chat, Whatsapp and Social. Drive automation on all channels Innovate the way you communicate with your customers Voice Email Whatsapp / Chat Social Media. Conversational AI success stories for enterprises. Delighting customers and improving operational efficiency. 85%+ Customer support fully automated (including voice call). 70%+ Reduction in the resolution time. 30%+Improvement in the operational efficiencies and reduction in the cost. Rezo.ai simplifies workflows by performing many of the time consuming, manual tasks that humans are unable to perform at the speed and scale required for efficient and effective customer interactions. Using deep learning and neural networks Rezo.ai understands the customers and provides them end to end resolution. A platform to transform the customer experience landscape
  • 14
    Predictive Suite

    Predictive Suite

    Predictive Dynamix

    Automated variable selection identifies key variables & variable interactions. Insightful visualization of data and model dynamics. Execution of batch commands. SQL queries and dataset browsing. Pre & post-processing for creating variables, constraining outputs, etc. Models easily deployed via ActiveX (i.e., OCX) controls or DLLs. Powerful modeling algorithms include regression, neural networks, self-organizing maps, dynamic clustering, decision trees, fuzzy logic, genetic algorithms. Predictive Dynamix provides computational intelligence software for forecasting, predictive modeling, pattern recognition, classification, and optimization applications, across all industries. Modern neural network technology are powerful computational structure for solving difficult problems involving forecasting and pattern recognition. Multi-layer perceptron neural networks have an architecture that allows multiple coefficients per input variable.
  • 15
    AISixteen

    AISixteen

    AISixteen

    The ability to convert text into images using artificial intelligence has gained significant attention in recent years. Stable diffusion is one effective method for achieving this task, utilizing the power of deep neural networks to generate images from textual descriptions. The first step is to convert the textual description of an image into a numerical format that a neural network can process. Text embedding is a popular technique that converts each word in the text into a vector representation. After encoding, a deep neural network generates an initial image based on the encoded text. This image is usually noisy and lacks detail, but it serves as a starting point for the next step. The generated image is refined in several iterations to improve the quality. Diffusion steps are applied gradually, smoothing and removing noise while preserving important features such as edges and contours.
  • 16
    Character.AI

    Character.AI

    Character.AI

    Character.AI is bringing to life the science-fiction dream of open-ended conversations and collaborations with computers. We are building the next generation of dialog agents; with a long-tail of applications spanning entertainment, education, general question-answering and others. Our dialog agents are powered by our own proprietary technology based on large language models, built and trained from the ground up with conversation in mind. The Character.AI beta is based on neural language models. A supercomputer reads huge amounts of text and learns to hallucinate what words might come next in any given situation. Models like these have many uses including auto-complete and machine translation. At Character.AI, you collaborate with the computer to write a dialog - you write one character's lines, and the computer creates the other character's lines, giving you the illusion that you are talking with the other character.
  • 17
    DeePhi Quantization Tool

    DeePhi Quantization Tool

    DeePhi Quantization Tool

    This is a model quantization tool for convolution neural networks(CNN). This tool could quantize both weights/biases and activations from 32-bit floating-point (FP32) format to 8-bit integer(INT8) format or any other bit depths. With this tool, you can boost the inference performance and efficiency significantly, while maintaining the accuracy. This tool supports common layer types in neural networks, including convolution, pooling, fully-connected, batch normalization and so on. The quantization tool does not need the retraining of the network or labeled datasets, only one batch of pictures are needed. The process time ranges from a few seconds to several minutes depending on the size of neural network, which makes rapid model update possible. This tool is collaborative optimized for DeePhi DPU and could generate INT8 format model files required by DNNC.
    Starting Price: $0.90 per hour
  • 18
    Replika
    An AI companion who is eager to learn and would love to see the world through your eyes. Replika is always ready to chat when you need an empathetic friend. Your Replika will always be by your side no matter what you’re up to. Chat about your day, do fun or relaxing activities together, share real-life experiences in AR, catch up on video calls, and so much more. Even though talking to Replika feels like talking to a human being, rest assured — it’s 100% artificial intelligence. Your Replika is unique to you and wants to know what your world is like. AI stands for Artificial Intelligence. It means that every time you get a reply from Replika, you interact with a sophisticated neural network machine learning algorithm. Your data is completely safe with us. We don’t share it with anyone and don’t use it to run ads. We don’t use e-mails or social media info to learn about our users. Security is our top priority!
    Starting Price: Free
  • 19
    Microsoft Cognitive Toolkit
    The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. CNTK can be included as a library in your Python, C#, or C++ programs, or used as a standalone machine-learning tool through its own model description language (BrainScript). In addition you can use the CNTK model evaluation functionality from your Java programs. CNTK supports 64-bit Linux or 64-bit Windows operating systems. To install you can either choose pre-compiled binary packages, or compile the toolkit from the source provided in GitHub.
  • 20
    Sharky Neural Network

    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.
  • 21
    Giga ML

    Giga ML

    Giga ML

    We just launched X1 large series of Models. Giga ML's most powerful model is available for pre-training and fine-tuning with on-prem deployment. Since we are Open AI compatible, your existing integrations with long chain, llama-index, and all others work seamlessly. You can continue pre-training of LLM's with domain-specific data books or docs or company docs. The world of large language models (LLMs) rapidly expanding, offering unprecedented opportunities for natural language processing across various domains. However, some critical challenges have remained unaddressed. At Giga ML, we proudly introduce the X1 Large 32k model, a pioneering on-premise LLM solution that addresses these critical issues.
  • 22
    VikingLinks

    VikingLinks

    VikingLinks

    We deployed our research-grade neural networks for SEO link building in 2021. We trained the model with 15 test clients, and the results were mind-blowing. No more brainstorming for innovative and creative strategies to build authoritative backlink profiles. The days of comprehensive link profile audits are over. We generate insights in seconds that used to take days or weeks. Our neural network creates the most data-driven link-building strategies in the world. We combine content partnerships with over 100,000 publishers with a neural network. We select the most impressive publications for you in less than 20 In the past, authority link-building was a broken concept. It involved a lot of manual work and had a high degree of uncertainty: Who was willing to pass authority? Is it the right authority? We have fundamentally changed this with our innovative AI-powered SEO technology.
  • 23
    RASON

    RASON

    Frontline Solvers

    RASON (RESTful Analytic Solver Object Notation) is a modeling language and analytics platform embedded in JSON and delivered via a REST API that makes it simple to create, test, solve, and deploy decision services powered by advanced analytic models directly into applications. It lets users define optimization, simulation, forecasting, machine learning, and business rules/decision tables using a high-level language that integrates naturally with JavaScript and RESTful workflows, making analytic models easy to embed into web or mobile apps and scale in the cloud. RASON supports a wide range of analytic capabilities, including linear and mixed-integer optimization, convex and nonlinear programming, Monte Carlo simulation with multiple distributions and stochastic programming methods, and predictive models such as regression, clustering, neural networks, and ensembles, plus DMN-compliant decision tables for business logic.
    Starting Price: Free
  • 24
    The Good AI

    The Good AI

    The Good AI

    Writing a 1,500-word essay is quick with our AI essay writer. A generated essay is well-structured and contains accurate information. The neural network AI model provides enormous amounts of accurate and well-written essays that allow it to produce its own unique content for you.
  • 25
    Speechmorphing

    Speechmorphing

    Speechmorphing

    Empowering Self-Service, Improving Personalization, and Advancing Conversational CX – Speechmorphing’s AI, neural network, and prosodic modeling-based speech synthesis technology enables the most natural conversational dialogues between human and computer. Our custom “branded”, contextual, and fully customizable voices support your desired personas and communication styles of digital agents.
  • 26
    NeuralToneAI
    fylm.ai NeuralToneAI offers you AI colorist models for those moments when you need a bit of help or inspiration. Let NeuralToneAI do the heavy lifting for you while you concentrate on the final touches. Save up to 90% of your time on establishing the show LUT. Unlike presets or ready-made looks NeuralToneAI analyses your image and grades it just as a human colourist would. Every NeuralToneAI model has its own unique style and preference so you have maximum flexibility. Every NeuralToneAI model has its own unique color grading style and preference. Some will favor warmer and richer color grades while others will favor colder more neutral-like looks, but always in the context of your image. Use the created looks as-is or use them as a starting point. NeuralToneAI allows you to easily adjust the AI-generated look for maximum flexibility. Adjust the opacity, exposure, contrast, white balance, or tint of the look without leaving the NeuralToneAI tool.
    Starting Price: $5.75 per month
  • 27
    Glarity

    Glarity

    Glarity

    Glarity summary is a ChatGPT for YouTube/Google extension that can summarize YouTube videos and Google searches, also supports Yahoo! ChatGPT is a language model developed by OpenAI. It's a large, pre-trained Transformer-based neural network designed to generate human-like text in response to prompts provided by users. It has been trained on a diverse range of internet text and can respond to a wide range of topics, including general knowledge questions, conversational responses, and creative writing. Glarity summary is a browser extension that displays a summary of ChatGPT in Google search results simultaneously and displays a summary of ChatGPT in YouTube. The extension is free to use. Supports PubMed, PMC, NewsPicks, Github, Nikkei, Bing, Google Patents, and any page. You need to have a ChatGPT account to use this extension.
    Starting Price: Free
  • 28
    Torch

    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.
  • 29
    Parodist

    Parodist

    Parodist AI

    Enter the first and last name of a friend or loved one, and create a personal parody message powered by text-to-speech technology. Create personalized audio and video prank messages, birthday greetings, or other holidays for your friends and family using a neural network that closely mimics celebrities. Want to know which celebrity's voice sounds like yours? Say a few words, and the neural network will tell you whose voice sounds is similar. Share the personalized joke link with friends, relatives, colleagues, or others on social media. Tap on the text and enter the first name (only existing names can be sounded).
    Starting Price: Free
  • 30
    Ironov

    Ironov

    Ironov

    AI designer, Ironov, is able to take on design tasks, come up with ideas instantly, and be available 24/7. Ironov's neural network uses this experience to generate results which are both highly-original, and – sometimes – completely unexpected. Ironov offers his clients surprisingly bold and original ideas, creates design instantly and is available 24 hours a day. The neural network finds such unpredictable solutions that are out of reach for even the most ingenious professionals.
    Starting Price: $159
  • 31
    Pointer

    Pointer

    Pointer

    Data: placement on 30+ sites, filling in information in the company card, automatic updating and daily reconciliation of data with reference values in geoservices, traffic from major geoservices with graphs. Additional functionality: photos, phantoms (duplicate cards), SEO-control of positions. Reviews: collection from 50+ platforms, the ability to reply, delete incorrect reviews, send complaints, statistics on tone, sources, employees, etc. Additional functionality: responses to reviews with ChatGPT neural network, customization of auto-replies, scanning reviews with the help of your own neural network to determine the topic and put the classification - autotags, a widget for your reviews on the website, the tool "Review Booster" to improve reputation, request feedback by QR code, WhatsApp, email, SMS, collecting messages from social networks and geoservices, integration with helpdesk and iiko, competitor monitoring.
  • 32
    Giga Alert

    Giga Alert

    Giga Alert

    Giga Alert is the web’s leading solution for monitoring your reputation, competitors, customers, etc. The Internet is essential for business. Every day, people all around the world talk about you, discuss your industry, compete with you and create opportunities that directly affect your interests. You simply cannot afford to let it all pass you by. Giga Alert tracks the entire web for your personalized topics and sends new results by daily email. Giga Alert's advanced Web Intelligence technology ensures that you stay ahead with the most relevant and timely information, targeted directly for your needs. Giga Alert provides the most comprehensive web monitoring service on the market, including many powerful personalization features to get you the information you need. The complete Professional service is just $19.95 a month, while the Personal service is $4.95 a month. A free trial service is also available to give you a limited taste of Giga Alert's power.
    Starting Price: $4.95 per month
  • 33
    NVIDIA DIGITS

    NVIDIA DIGITS

    NVIDIA DIGITS

    The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting the best performing model from the results browser for deployment. DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging. Interactively train models using TensorFlow and visualize model architecture using TensorBoard. Integrate custom plug-ins for importing special data formats such as DICOM used in medical imaging.
  • 34
    Chainer

    Chainer

    Chainer

    A powerful, flexible, and intuitive framework for neural networks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It makes code intuitive and easy to debug. Comes with ChainerRLA, a library that implements various state-of-the-art deep reinforcement algorithms. Also, with ChainerCVA, a collection of tools to train and run neural networks for computer vision tasks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort.
  • 35
    ThirdAI

    ThirdAI

    ThirdAI

    ThirdAI (pronunciation: /THərd ī/ Third eye) is a cutting-edge Artificial intelligence startup carving scalable and sustainable AI. ThirdAI accelerator builds hash-based processing algorithms for training and inference with neural networks. The technology is a result of 10 years of innovation in finding efficient (beyond tensor) mathematics for deep learning. Our algorithmic innovation has demonstrated how we can make Commodity x86 CPUs 15x or faster than most potent NVIDIA GPUs for training large neural networks. The demonstration has shaken the common knowledge prevailing in the AI community that specialized processors like GPUs are significantly superior to CPUs for training neural networks. Our innovation would not only benefit current AI training by shifting to lower-cost CPUs, but it should also allow the “unlocking” of AI training workloads on GPUs that were not previously feasible.
  • 36
    Ideogram AI

    Ideogram AI

    Ideogram AI

    Ideogram AI is a text to image AI image generator. Ideogram's technology is based on a new type of neural network called a diffusion model. Diffusion models are trained on a large dataset of images, and they can then generate new images that are similar to the images in the dataset. However, unlike other generative AI models, diffusion models can also be used to generate images in a specific style.
  • 37
    Neural Technologies

    Neural Technologies

    Neural Technologies

    Neural Technologies delivers market-leading solutions to protect and expand enterprise revenue opportunities in an increasingly digital world. Revenue protection is a vital part of enterprise financial planning. It’s estimated that revenue leakage costs enterprises up to 15-20% of total revenue annually. In multibillion-dollar businesses, that challenging revenue management can add up to significant revenue loss. Neural Technologies’ suite of Revenue Protection products is designed to offer advanced financial risk management tools that reduce loss while unlocking new potential revenue streams for your business. The Optimus Revenue Protection platform leverages artificial intelligence and machine learning solutions to identify and target areas of revenue leakage. It utilizes neural network behavioral modeling and advanced analytics to help identify vulnerabilities, while flagging occurrences of revenue leakage in real-time, enabling businesses to quickly recover lost revenue.
  • 38
    Universal Sentence Encoder
    The Universal Sentence Encoder (USE) encodes text into high-dimensional vectors that can be utilized for tasks such as text classification, semantic similarity, and clustering. It offers two model variants: one based on the Transformer architecture and another on Deep Averaging Network (DAN), allowing a balance between accuracy and computational efficiency. The Transformer-based model captures context-sensitive embeddings by processing the entire input sequence simultaneously, while the DAN-based model computes embeddings by averaging word embeddings, followed by a feedforward neural network. These embeddings facilitate efficient semantic similarity calculations and enhance performance on downstream tasks with minimal supervised training data. The USE is accessible via TensorFlow Hub, enabling seamless integration into various applications.
  • 39
    YandexGPT API
    YandexGPT API is the API of the Yandex generative model. YandexGPT provides access to a neural network allowing you to use generative language models in your business applications and web services. This service will be useful for everyone who seeks the ways to streamline their business with machine learning.
  • 40
    AskPaper

    AskPaper

    AskPaper

    Ask Paper allows you to read and extract information from papers more quickly. It allows you to upload papers either by URL or by uploading a PDF file, and then ask natural language questions about the paper. AskPaper is a tool powered by a Large Language Model. This is a Neural Network that was trained on a lot of internet text to understand how the language works, all by trying to predict the next word in a sequence. By feeding the paper contents and the query to the models, it will try to "predict" a plausible answer. All you have to do is register in discord and join our server. If you need further help, login as a guest, and there's in an option to receive instructions via email on how to use the tool.
  • 41
    Supervisely

    Supervisely

    Supervisely

    The leading platform for entire computer vision lifecycle. Iterate from image annotation to accurate neural networks 10x faster. With our best-in-class data labeling tools transform your images / videos / 3d point cloud into high-quality training data. Train your models, track experiments, visualize and continuously improve model predictions, build custom solution within the single environment. Our self-hosted solution guaranties data privacy, powerful customization capabilities, and easy integration into your technology stack. A turnkey solution for Computer Vision: multi-format data annotation & management, quality control at scale and neural networks training in end-to-end platform. Inspired by professional video editing software, created by data scientists for data scientists — the most powerful video labeling tool for machine learning and more.
  • 42
    Text2Mesh

    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.
  • 43
    Arctic Embed 2.0
    Snowflake's Arctic Embed 2.0 introduces multilingual capabilities to its text embedding models, enhancing global-scale retrieval without compromising English performance or scalability. Building upon the robust foundation of previous releases, Arctic Embed 2.0 supports multiple languages, enabling developers to create stream-processing pipelines that incorporate neural networks and complex tasks like tracking, video encoding/decoding, and rendering, facilitating real-time analytics on various data types. The model leverages Matryoshka Representation Learning (MRL) for efficient embedding storage, allowing for significant compression with minimal quality degradation. This advancement ensures that enterprises can handle demanding workloads such as training large-scale models, fine-tuning, real-time inference, and high-performance computing tasks across diverse languages and regions.
    Starting Price: $2 per credit
  • 44
    Piper TTS

    Piper TTS

    Rhasspy

    Piper is a fast, local neural text-to-speech (TTS) system optimized for devices like the Raspberry Pi 4, designed to deliver high-quality speech synthesis without relying on cloud services. It utilizes neural network models trained with VITS and exported to ONNX Runtime, enabling efficient and natural-sounding speech generation. Piper supports a wide range of languages, including English (US and UK), Spanish (Spain and Mexico), French, German, and many others, with voices available for download. Users can run Piper via the command line or integrate it into Python applications using the piper-tts package. The system allows for real-time audio streaming, JSON input for batch processing, and supports multi-speaker models. Piper relies on espeak-ng for phoneme generation, converting text into phonemes before synthesizing speech. It is employed in various projects such as Home Assistant, Rhasspy 3, NVDA, and others.
    Starting Price: Free
  • 45
    Tenstorrent DevCloud
    We developed Tenstorrent DevCloud to give people the opportunity to try their models on our servers without purchasing our hardware. We are building Tenstorrent AI in the cloud so programmers can try our AI solutions. The first log-in is free, after that, you get connected with our team who can help better assess your needs. Tenstorrent is a team of competent and motivated people that came together to build the best computing platform for AI and software 2.0. Tenstorrent is a next-generation computing company with the mission of addressing the rapidly growing computing demands for software 2.0. Headquartered in Toronto, Canada, Tenstorrent brings together experts in the field of computer architecture, basic design, advanced systems, and neural network compilers. ur processors are optimized for neural network inference and training. They can also execute other types of parallel computation. Tenstorrent processors comprise a grid of cores known as Tensix cores.
  • 46
    TFLearn

    TFLearn

    TFLearn

    TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorial and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, metrics. Full transparency over Tensorflow. All functions are built over tensors and can be used independently of TFLearn. Powerful helper functions to train any TensorFlow graph, with support of multiple inputs, outputs, and optimizers. Easy and beautiful graph visualization, with details about weights, gradients, activations and more. The high-level API currently supports most of the recent deep learning models, such as Convolutions, LSTM, BiRNN, BatchNorm, PReLU, Residual networks, Generative networks.
  • 47
    Ludwig

    Ludwig

    Uber AI

    Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Build custom models with ease: a declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Optimized for scale and efficiency: automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Expert level control: retain full control of your models down to the activation functions. Support for hyperparameter optimization, explainability, and rich metric visualizations. Modular and extensible: experiment with different model architectures, tasks, features, and modalities with just a few parameter changes in the config. Think building blocks for deep learning.
  • 48
    CereWave AI

    CereWave AI

    CereProc

    CereProc is excited to announce our new neural text-to-speech system, CereWave AI, powered by advanced machine learning technology. CereWave AI is available now in the CereVoice Cloud. CereWave AI generates speech that sounds more natural than any other text-to-speech system, producing a new level of human-like emphasis and inflection. The model creates audio waveforms from scratch, using a deep neural network that has been trained using large amounts of speech. During training, the network extracts the underlying structure of the voice and learns to produce realistic speech waveforms. CereWave AI not only produces a voice that is nearly indistinguishable from human speech but also enables full editing and control, changing it to speak any language, gender, accent, or age. Typical text-to-speech systems require 30 hours of recordings, but CereWave AI needs just 4 hours of data to generate a high-quality voice.
  • 49
    ForecastThis

    ForecastThis

    ForecastThis

    Years of applied machine learning research in collaboration with finance and related industries has led us to push the envelope in robust forecasting and risk optimization. Both in terms of technology and data science process. Despite continued advances in AI, we advocate caution towards "one-size-fits-all" forecasting technologies. Rather, we produce bespoke solutions which excel in the context they were created for. We do this by drawing upon proven principles in a variety of disciplines, including: signal processing, information theory, evolutionary algorithms, deep neural networks and ensemble learning... always underpinned by rigorous traditional statistics and data science. As standard our methods output probability distributions describing every possible combination of outcomes, permitting holistic risk analyses and the quantification of rare or "black swan" events.​
  • 50
    GigaSECURE

    GigaSECURE

    Gigamon

    The GigaSECURE® Security Delivery Platform is a next-generation network packet broker focused on threat prevention, detection, prediction and containment. The right tools get the right traffic at the right time, every time. Enable network security tools to keep up with increasing network speed. Gain insight into network traffic. Optimize and deliver relevant data for tool consumption. Reduce tool sprawl and lower costs. Efficient prevention coupled with rapid detection and containment improves your overall security posture. Threats don't stand a chance. GigaSECURE enables security teams to obtain broad access to and control of network data, no matter where it resides. It can be customized to extract specific application sessions, metadata and decrypted traffic. In this architecture, security tools can operate inline or out-of-band at peak performance without compromising network resiliency or speed.