Search Results for "learning classifier system"

Showing 835 open source projects for "learning classifier system"

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    SysAid multi-layered ITSM solution

    For organizations spanning all industries and sizes from SMBs to Fortune 500 corporations

    SysAid is an ITSM, Service Desk and Help Desk software solution that integrates all of the essential IT tools into one product. Its rich set of features include a powerful Help Desk, IT Asset Management, and other easy-to-use tools for analyzing and optimizing IT performance.
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    NEMS environmental management suite

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  • 1
    PyTorch

    PyTorch

    Open source machine learning framework

    PyTorch is a Python package that offers Tensor computation (like NumPy) with strong GPU acceleration and deep neural networks built on tape-based autograd system. This project allows for fast, flexible experimentation and efficient production. PyTorch consists of torch (Tensor library), torch.autograd (tape-based automatic differentiation library), torch.jit (a compilation stack [TorchScript]), torch.nn (neural networks library), torch.multiprocessing (Python multiprocessing), and torch.utils...
    Downloads: 123 This Week
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  • 2
    Osu!

    Osu!

    Open-source rhythm game

    Osu! is a simple rhythm game with a well thought out learning curve for players of all skill levels. One of the great aspects of Osu! is that it is community-driven, with every single map created by another player with a variety of artists. Every map is a new experience This is the development client of the future osu!lazer project. Give it a try! Currently beatmaps on osu!lazer need to be dragged and dropped from beatmap listings here. Note: An account is required. https://osu.ppy.sh...
    Downloads: 136 This Week
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  • 3
    GPCS4

    GPCS4

    A work-in-progress PlayStation 4 emulator

    A PlayStation 4 emulator which was just started. A project done for fun, and for technical research. The only reason I have started this project is for learning 3D graphics. It's not intended to become a serious application. Support simple compute shader, compute ring, cube maps. For more details you could join our discord server to contact me, or if you are used to Tencent QQ/TIM, just join our group. There you can get more resources which are useful for contributing. To run or develop GPCS4...
    Downloads: 75 This Week
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  • 4
    Zstandard

    Zstandard

    Zstandard - Fast real-time compression algorithm

    Zstandard is a fast compression algorithm, providing high compression ratios. It also offers a special mode for small data, called dictionary compression. The reference library offers a very wide range of speed / compression trade-off, and is backed by an extremely fast decoder (see benchmarks below). Zstandard library is provided as open source software using a BSD license. Its format is stable and published as IETF RFC 8478. The negative compression levels, specified with --fast=#, offer...
    Downloads: 69 This Week
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  • The #1 CRM in Real Estate Icon
    The #1 CRM in Real Estate

    Chime is the all-in-one CRM and Sales Acceleration platform that real estate professionals LOVE to use!

    Automate marketing campaigns, boost your brand awareness, capture and convert more leads, all in ONE intuitive platform.
  • 5
    VALL-E

    VALL-E

    PyTorch implementation of VALL-E (Zero-Shot Text-To-Speech)

    ...-E emerges in-context learning capabilities and can be used to synthesize high-quality personalized speech with only a 3-second enrolled recording of an unseen speaker as an acoustic prompt. Experiment results show that VALL-E significantly outperforms the state-of-the-art zero-shot TTS system in terms of speech naturalness and speaker similarity. In addition, we find VALL-E could preserve the speaker's emotion and acoustic environment of the acoustic prompt in synthesis.
    Downloads: 57 This Week
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  • 6
    ggplot2

    ggplot2

    An implementation of the Grammar of Graphics in R

    ggplot2 is a system written in R for declaratively creating graphics. It is based on The Grammar of Graphics, which focuses on following a layered approach to describe and construct visualizations or graphics in a structured manner. With ggplot2 you simply provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it will take care of the rest. ggplot2 is over 10 years old and is used by hundreds of thousands of people all over the world...
    Downloads: 23 This Week
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  • 7
    dlib

    dlib

    Toolkit for making machine learning and data analysis applications

    Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is about...
    Downloads: 11 This Week
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  • 8
    ungit

    ungit

    A tool to simplify the use of git, on any platform, anywhere

    Git is known for being a versatile distributed source control system that is a staple of many individuals, communities, and even for the City of Chattanooga to crowd source bicycle parking locations. However, it is not known for userfriendliness or easy learning curve. Ungit brings user friendliness to git without sacrificing the versatility of git. Git and github both supports PGP signing. Within Ungit these features can be enabled. Currently, Ungit DOES NOT support GPG authentication! While...
    Downloads: 18 This Week
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  • 9
    Elasticsearch

    Elasticsearch

    A Distributed RESTful Search Engine

    Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types.
    Downloads: 11 This Week
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  • ServiceWorks Field Service Management Software Icon
    ServiceWorks Field Service Management Software

    Boost your field service operation by configuring the platform to suit your business need.

    One stop platform for everything needed to run, grow and transform a business.
  • 10
    ezEngine

    ezEngine

    An open source C++ game engine

    ezEngine is a free, open source game engine written in C++. Its philosophy is to be modular and flexible, such that it can be adapted to many different use cases. EZ utilizes a plugin system to integrate features such as FMOD or Jolt Physics. This makes it possible to only include those features that you need, or to replace systems with a custom solution that works better for your requirements. Similarly, the EZ code base can be built in multiple tiers, where you either get the entire feature...
    Downloads: 13 This Week
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  • 11
    openage

    openage

    Open source clone of the Age of Empires II engine

    ... implement a client-server architecture with dedicated servers that supports more than 8 players. The overarching system will provide matchmaking, lobbies, server discovery and other community features. openage is a community project that values every contribution, the only requirement is your enthusiasm. Don't hesitate to get in touch with us if you want to help!
    Downloads: 8 This Week
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  • 12
    XGBoost

    XGBoost

    Scalable and Flexible Gradient Boosting

    XGBoost is an optimized distributed gradient boosting library, designed to be scalable, flexible, portable and highly efficient. It supports regression, classification, ranking and user defined objectives, and runs on all major operating systems and cloud platforms. XGBoost works by implementing machine learning algorithms under the Gradient Boosting framework. It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems. XGBoost...
    Downloads: 4 This Week
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  • 13
    Imagen - Pytorch

    Imagen - Pytorch

    Implementation of Imagen, Google's Text-to-Image Neural Network

    Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior network...
    Downloads: 0 This Week
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  • 14
    DeepLabCut

    DeepLabCut

    Implementation of DeepLabCut

    DeepLabCut™ is an efficient method for 2D and 3D markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results (i.e. you can match human labeling accuracy) with minimal training data (typically 50-200 frames). We demonstrate the versatility of this framework by tracking various body parts in multiple species across a broad collection of behaviors. The package is open source, fast, robust, and can be used to compute 3D pose estimates...
    Downloads: 2 This Week
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  • 15
    Zygote

    Zygote

    21st century AD

    Zygote provides source-to-source automatic differentiation (AD) in Julia, and is the next-gen AD system for the Flux differentiable programming framework. For more details and benchmarks of Zygote's technique, see our paper. You may want to check out Flux for more interesting examples of Zygote usage; the documentation here focuses on internals and advanced AD usage.
    Downloads: 2 This Week
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  • 16
    HertzBeat

    HertzBeat

    An open source, real-time monitoring system with custom-monitoring

    An open-source, real-time monitoring system with custom monitoring, performance-cluster, Prometheus-compatible and agentless. [Monitoring+Alarm+Notification] all in one. Support monitoring web service, database, os, middleware, cloud-native, network and more. Easy to use and agentless, offering full web-based operations for monitoring and alerting with just a few clicks. Makes protocols such as Http, Jmx, Ssh, Snmp, Jdbc configurable, allowing you to collect any metrics by simply configuring...
    Downloads: 3 This Week
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  • 17
    ACHE Focused Crawler

    ACHE Focused Crawler

    ACHE is a web crawler for domain-specific search

    ACHE is a focused web crawler. It collects web pages that satisfy some specific criteria, e.g., pages that belong to a given domain or that contain a user-specified pattern. ACHE differs from generic crawlers in sense that it uses page classifiers to distinguish between relevant and irrelevant pages in a given domain. A page classifier can be defined as a simple regular expression (e.g., that matches every page that contains a specific word) or a machine-learning-based classification model...
    Downloads: 1 This Week
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  • 18
    Elgg

    Elgg

    A social networking engine in PHP/MySQL

    Introducing a powerful open-source social networking engine. Providing you with the core components needed to build a socially aware web application. Elgg is an award-winning open source social networking engine that provides a robust framework on which to build all kinds of social environments, from a campus-wide social network for your university, school or college or an internal collaborative platform for your organization to a brand-building communications tool for your company and its...
    Downloads: 2 This Week
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  • 19
    Dotty

    Dotty

    The scala 3 compiler, also known as Dotty

    The exciting new version of Scala 3 brings many improvements and new features. Scala 3 is a complete overhaul of the Scala language. At its core, many aspects of the type-system have been changed to be more principled. While this also brings exciting new features along (like union types), first and foremost, it means that the type-system gets (even) less in your way and for instance type-inference and overload resolution are much improved. One underlying core concept of Scala was (and still...
    Downloads: 2 This Week
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  • 20
    DeepSpeed

    DeepSpeed

    Deep learning optimization library: makes distributed training easy

    DeepSpeed is an easy-to-use deep learning optimization software suite that enables unprecedented scale and speed for Deep Learning Training and Inference. With DeepSpeed you can: 1. Train/Inference dense or sparse models with billions or trillions of parameters 2. Achieve excellent system throughput and efficiently scale to thousands of GPUs 3. Train/Inference on resource constrained GPU systems 4. Achieve unprecedented low latency and high throughput for inference 5. Achieve extreme...
    Downloads: 1 This Week
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  • 21
    DVC

    DVC

    Data Version Control | Git for Data & Models

    DVC is built to make ML models shareable and reproducible. It is designed to handle large files, data sets, machine learning models, and metrics as well as code. Version control machine learning models, data sets and intermediate files. DVC connects them with code and uses Amazon S3, Microsoft Azure Blob Storage, Google Drive, Google Cloud Storage, Aliyun OSS, SSH/SFTP, HDFS, HTTP, network-attached storage, or disc to store file contents. Version control machine learning models, data sets...
    Downloads: 1 This Week
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  • 22
    BotSharp

    BotSharp

    Open source AI chatbot platform builder in 100% C#

    ... technologies, and aims to promote the development and application of intelligent robot assistants in information systems. Out-of-the-box machine learning algorithms allow ordinary programmers to develop artificial intelligence applications faster and easier. It's written in C# running on .Net Core that is full cross-platform framework. C# is a enterprise-grade programming language which is widely used to code business logic in information management-related system.
    Downloads: 1 This Week
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  • 23
    SentencePiece

    SentencePiece

    Unsupervised text tokenizer for Neural Network-based text generation

    SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [Sennrich et al.]) and unigram language model [Kudo.]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre...
    Downloads: 1 This Week
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  • 24
    The SpeechBrain Toolkit

    The SpeechBrain Toolkit

    A PyTorch-based Speech Toolkit

    ... in a wide variety of realistic applications. SpeechBrain provides different models for speaker recognition, including X-vector, ECAPA-TDNN, PLDA, and contrastive learning. Spectral masking, spectral mapping, and time-domain enhancement are different methods already available within SpeechBrain. Separation methods such as Conv-TasNet, DualPath RNN, and SepFormer are implemented as well. SpeechBrain provides efficient and GPU-friendly speech augmentation pipelines and acoustic features extraction.
    Downloads: 1 This Week
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  • 25
    pyntcloud

    pyntcloud

    pyntcloud is a Python library for working with 3D point clouds

    This page will introduce the general concept of point clouds and illustrate the capabilities of pyntcloud as a point cloud processing tool. Point clouds are one of the most relevant entities for representing three dimensional data these days, along with polygonal meshes (which are just a special case of point clouds with connectivity graph attached). In its simplest form, a point cloud is a set of points in a cartesian coordinate system. Accurate 3D point clouds can nowadays be (easily...
    Downloads: 1 This Week
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