Showing 1132 open source projects for "learning"

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    Build Agents and Models on One Platform

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    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • 1
    Machine Learning Cheat Sheet

    Machine Learning Cheat Sheet

    Classical equations and diagrams in machine learning

    This repository is a visually rich and well-organized “cheat sheet” summarizing core machine learning concepts, algorithms, formulas, and best practices. It includes summaries of supervised and unsupervised learning methods, model evaluation metrics (accuracy, precision, recall, ROC/AUC), overfitting/underfitting, regularization (L1/L2), cross-validation, feature engineering techniques, and perhaps tips for hyperparameter tuning.
    Downloads: 0 This Week
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  • 2
    PyTorchVideo

    PyTorchVideo

    A deep learning library for video understanding research

    PyTorchVideo is a deep learning library for video understanding, providing modular components and pretrained models for tasks like action recognition, video classification, detection, and self-supervised learning. It is tightly integrated with PyTorch and PyTorch Lightning, offering flexible APIs for building and training spatiotemporal networks. The library includes efficient implementations of state-of-the-art architectures such as SlowFast, X3D, and MViT, optimized for both research prototyping and production inference. ...
    Downloads: 0 This Week
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  • 3
    ReinventCommunity

    ReinventCommunity

    Jupyter Notebook tutorials for REINVENT 3.2

    This repository is a collection of useful jupyter notebooks, code snippets and example JSON files illustrating the use of Reinvent 3.2.
    Downloads: 0 This Week
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  • 4
    TRFL

    TRFL

    TensorFlow Reinforcement Learning

    TRFL, developed by Google DeepMind, is a TensorFlow-based library that provides a collection of essential building blocks for reinforcement learning (RL) algorithms. Pronounced “truffle,” it simplifies the implementation of RL agents by offering reusable components such as loss functions, value estimation tools, and temporal difference (TD) learning operators. The library is designed to integrate seamlessly with TensorFlow, allowing users to define differentiable RL objectives and train models using standard optimization routines. ...
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  • 5
    Synthetic Mixed Data Generator
    A Synthetic Data Generator for producing mixed datasets described by relevant, irrelevant, and redundant features.
    Downloads: 0 This Week
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  • 6
    rax

    rax

    A progressive React framework for building universal application

    ...The Rax 1.0 system provides a wealth of components and APIs to help business students quickly develop multi-terminal projects. Go Rax is a Rax 1.0 sample app, which is provided for Rax developers for reference and learning. Rax improves the product experience through a lighter core, progressive web applications, and server-side rendering. The out-of-the-box engineering, rich components and surrounding ecology, and one-time development and multi-end delivery help the developer complete his creativity. At the same time, we are also continuing to explore in the field of artificial intelligence, and continue to reduce development thresholds and costs.
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  • 7
    ESP8266 Deauther Version 2

    ESP8266 Deauther Version 2

    Affordable WiFi hacking platform for testing and learning

    Scan for WiFi devices, block selected connections, create dozens of networks and confuse WiFi scanners! Version 3 is in development. It is stable to use, but it is very different. It is command-line based, which allows it to offer not just more features, but make them more customizable. This software allows you to easily perform a variety of actions to test 802.11 wireless networks by using an inexpensive ESP8266 WiFi SoC (System On A Chip). The main feature, the deauthentication attack, is...
    Downloads: 29 This Week
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  • 8
    libpython-clj

    libpython-clj

    Python bindings for Clojure

    libpython-clj is a deep interop library enabling you to load and use Python modules from within Clojure as if they were native namespaces—and even extend Python objects from Clojure. It bridges to the Python C API, preserving REPL‑based workflows. Bridge between JVM objects and Python objects easily; use Python in your Java and use some Java in your Python. Python objects are linked to the JVM GC such that when they are no longer reachable from the JVM, their references are released....
    Downloads: 0 This Week
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  • 9
    erlang-bookmarks

    erlang-bookmarks

    All about erlang programming language [powerd by community]

    ...Rather than being a software library, the repository functions as a community-maintained knowledge hub that aggregates articles, tools, tutorials, and documentation links relevant to Erlang development. The project is intended to help both newcomers and experienced engineers quickly discover high-quality learning materials and ecosystem references. Contributions are encouraged through pull requests or link submissions, making the collection continuously expandable. Its simple structure allows users to browse topics efficiently without heavy tooling or dependencies. Overall, erlang-bookmarks serves as a lightweight but valuable reference index for the Erlang developer community.
    Downloads: 0 This Week
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    MongoDB Atlas runs apps anywhere

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  • 10
    ML workspace

    ML workspace

    All-in-one web-based IDE specialized for machine learning

    All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated. ...
    Downloads: 2 This Week
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  • 11
    Vue.js Analysis

    Vue.js Analysis

    Vue.js source code analysis

    Vue.js Analysis is an open-source Chinese ebook and companion learning resource that analyzes the Vue.js source code in depth. It was created to help learners understand Vue’s implementation principles in a more systematic way than scattered blog posts. The project focuses on Vue 2.x internals, including initialization, reactivity, virtual DOM, component rendering, template compilation, lifecycle behavior, and related architectural ideas.
    Downloads: 0 This Week
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  • 12
    Arraymancer

    Arraymancer

    A fast, ergonomic and portable tensor library in Nim

    Arraymancer is a tensor and deep learning library for the Nim programming language, designed for high-performance numerical computations and machine learning applications.
    Downloads: 0 This Week
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  • 13
    Differentiable Neural Computer

    Differentiable Neural Computer

    A TensorFlow implementation of the Differentiable Neural Computer

    The Differentiable Neural Computer (DNC), developed by Google DeepMind, is a neural network architecture augmented with dynamic external memory, enabling it to learn algorithms and solve complex reasoning tasks. Published in Nature in 2016 under the paper “Hybrid computing using a neural network with dynamic external memory,” the DNC combines the pattern recognition power of neural networks with a memory module that can be written to and read from in a differentiable way. This allows the...
    Downloads: 2 This Week
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  • 14
    Microsoft Bot Framework SDK

    Microsoft Bot Framework SDK

    Tool for building conversation applications

    Bot Framework provides the most comprehensive experience for building conversation applications. With the Bot Framework SDK, developers can build bots that converse free-form or with guided interactions including using simple text or rich cards that contain text, images, and action buttons. Developers can model and build sophisticated conversation using their favorite programming languages including C#, JS, Python and Java or using Bot Framework Composer, an open-source, visual authoring...
    Downloads: 0 This Week
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  • 15
    RegexAssistant

    RegexAssistant

    Regex Windows GUI app to help learn, create,& test Regular Expressions

    RegexAssistant is a Regex GUI application to help learn, create, and test Regular Expressions. It's an open source stand alone Windows application. RegexAssistant is great for beginners and intermediate-advanced regex users. -It helps beginners to learn regex by providing examples and token cheat-sheet. -Intermediate-advanced users can use RegexAssistant to test complex expressions.
    Downloads: 1 This Week
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  • 16
    YApi

    YApi

    A locally deployable, visual interface management platform

    ...Friendly interface documentation, WebSocket-based multi-person collaboration interface editing function and postman-like testing tools, allowing multi-person collaboration to multiply development efficiency. Based on Mockjs, easy to use and powerful. You can easily write interfaces by learning some simple mock template rules, which will greatly improve the efficiency of defining interfaces, and you don't need to worry about writing mock data: all data can be randomly generated in real-time. The generated Mock data can be used directly with ajax requests or through server proxy (no need to modify a line of code in the project).
    Downloads: 0 This Week
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  • 17
    libpostal

    libpostal

    A C library for parsing/normalizing street addresses around the world

    A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data. libpostal is a C library for parsing/normalizing street addresses around the world using statistical NLP and open data. The goal of this project is to understand location-based strings in every language, everywhere. Addresses and the locations they represent are essential for any application dealing with maps (place search, transportation, on-demand/delivery services,...
    Downloads: 1 This Week
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  • 18
    TinyGL

    TinyGL

    The penultimate portable graphics library

    tinygl is a lightweight, software-based OpenGL implementation originally written by Fabrice Bellard and modified here for modern learning and development purposes. It implements a subset of OpenGL 1.x features and provides a minimal yet functional rendering pipeline with no reliance on graphics hardware. tinygl is an ideal resource for educational purposes, embedded development, or rendering in software-only environments. Its simplicity and compact codebase allow developers to study how 3D graphics APIs work under the hood.
    Downloads: 0 This Week
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  • 19
    TensorFlow.js models

    TensorFlow.js models

    Pretrained models for TensorFlow.js

    This repository hosts a set of pre-trained models that have been ported to TensorFlow.js. The models are hosted on NPM and unpkg so they can be used in any project out of the box. They can be used directly or used in a transfer learning setting with TensorFlow.js. To find out about APIs for models, look at the README in each of the respective directories. In general, we try to hide tensors so the API can be used by non-machine learning experts. New models should have a test NPM script. You can run the unit tests for any of the models by running "yarn test" inside a directory. ...
    Downloads: 0 This Week
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  • 20
    Pytorch Points 3D

    Pytorch Points 3D

    Pytorch framework for doing deep learning on point clouds

    ...Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format.
    Downloads: 0 This Week
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  • 21
    Open Application Model

    Open Application Model

    Open Application Model (OAM)

    Open Application Model (OAM) is a set of standard yet higher-level abstractions for modeling cloud-native applications on top of today's hybrid and multi-cloud environments. Focused on application rather than container or orchestrator, Open Application Model brings modular, extensible, and portable design for defining application deployment with higher level API. This is the key to enabling simple, consistent yet robust application delivery across hybrid environments including Kubernetes,...
    Downloads: 0 This Week
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  • 22
    workshops_project

    workshops_project

    Workshops is an open source, simple, dead-lightweight LMS

    Workshops is an open source, simple, dead-lightweight LMS (Learning Management System) application programmed in Python (version 3.8.x) with Django (version 2.2.x) web framework which main purpose is to make a standarized way to share knowledge via courses in a slide-based view in browser powered by remark javascript library, easy to create, edit, delete and show your courses using simple markdown and html if necessary.
    Downloads: 0 This Week
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  • 23
    Minkowski Engine

    Minkowski Engine

    Auto-diff neural network library for high-dimensional sparse tensors

    The Minkowski Engine is an auto-differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unspooling, and broadcasting operations for sparse tensors. The Minkowski Engine supports various functions that can be built on a sparse tensor. We list a few popular network architectures and applications here. To run the examples, please install the package and run the command in the package root directory. Compressing a neural network to...
    Downloads: 0 This Week
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  • 24
    vim-bootstrap

    vim-bootstrap

    A simple method of generating a configuration for vim / neovim

    ...Vim is often called a "programmer's editor," and is so useful for programming that many consider it an entire IDE. Put your focus on one thing at a time, when we focus on studying a single thing we accelerate our learning. Created and maintained by a community that uses the Neovim/Vim on a daily basis.
    Downloads: 1 This Week
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  • 25
    TNN

    TNN

    Uniform deep learning inference framework for mobile

    TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's...
    Downloads: 0 This Week
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