Showing 1945 open source projects for "learn"

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  • 1
    Aprendiendo React

    Aprendiendo React

    A course to learn React

    ...The code is organized into a projects workspace, managed with pnpm and TypeScript configuration files, reflecting how modern React apps are actually structured in production. In practice, you learn by following the classes and then exploring or modifying the corresponding project folders, so the repo works as both reference code and a playground. Because it is tied to weekly Twitch streams, the content evolves and is updated to reflect modern React patterns and best practices.
    Downloads: 0 This Week
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  • 2
    Marksheet

    Marksheet

    Free tutorial to learn HTML and CSS

    ...The material emphasizes progressive mastery, encouraging learners to build small pages and refine them with better structure and style. It’s a useful reference to revisit after your first projects, reinforcing fundamentals that make larger frameworks easier to learn later.
    Downloads: 0 This Week
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  • 3
    Playground Cheatsheet for Python

    Playground Cheatsheet for Python

    Playground and cheatsheet for learning Python

    learn-python is another repository by Oleksii Trekhleb that serves as both a playground and an interactive cheatsheet for learning Python. It contains numerous Python scripts organized by topic (lists, dictionaries, loops, functions, classes, modules, etc.), each with code examples, explanations, test assertions, and links to further readings.
    Downloads: 2 This Week
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  • 4
    Plots

    Plots

    Powerful convenience for Julia visualizations and data analysis

    ...If one backend does not support your desired features or make the right trade-offs, you can just switch to another backend with one command. No need to change your code. No need to learn a new syntax. Plots might be the last plotting package you ever learn.
    Downloads: 0 This Week
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  • 5
    Hello Algorithm

    Hello Algorithm

    Animated illustrations, one-click data structure

    ...The source code can be run with one click, helping readers improve their programming skills during exercises and understand the working principles of algorithms and the underlying implementation of data structures. Readers are encouraged to help each other learn, and questions and comments can usually be answered within two days.
    Downloads: 0 This Week
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  • 6
    Scikit-LLM

    Scikit-LLM

    Seamlessly integrate LLMs into scikit-learn

    Seamlessly integrate powerful language models like ChatGPT into sci-kit-learn for enhanced text analysis tasks. At the moment the majority of the Scikit-LLM estimators are only compatible with some of the OpenAI models. Hence, a user-provided OpenAI API key is required. Additionally, Scikit-LLM will ensure that the obtained response contains a valid label. If this is not the case, a label will be selected randomly (label probabilities are proportional to label occurrences in the training set). ...
    Downloads: 0 This Week
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  • 7
    GaiaNet

    GaiaNet

    Install and run your own AI agent service

    Gaia is building an active, intelligent ecosystem that supports applications that learn, improve and grow over time. Put your knowledge to work and watch it evolve by creating a node on Gaia or by contributing to a domain supporting an existing knowledge base. Gaia’s decentralized platform ensures robust protection for user data and IP. Gaia allows secure ownership and monetization of IP without compromising privacy.
    Downloads: 30 This Week
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  • 8
    SmallBASIC

    SmallBASIC

    SmallBASIC is a fast and easy to learn BASIC language interpreter

    SmallBASIC is a lightweight and powerful BASIC interpreter designed for simplicity and speed, suitable for hobbyists, educators, and retro computing enthusiasts. It offers a traditional text-based programming experience reminiscent of early microcomputers, while including modern features such as structured programming, graphics, and file I/O. SmallBASIC runs on multiple platforms, including Windows, Linux, Android, and DOS, making it accessible across a wide range of systems.
    Downloads: 13 This Week
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  • 9
    Feature-engine

    Feature-engine

    Feature engineering package with sklearn like functionality

    Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models. Feature-engine's transformers follow Scikit-learn's functionality with fit() and transform() methods to learn the transforming parameters from the data and then transform it.
    Downloads: 2 This Week
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  • 10
    Netron

    Netron

    Visualizer for neural network, deep learning, machine learning models

    ...Netron supports ONNX, Keras, TensorFlow Lite, Caffe, Darknet, Core ML, MNN, MXNet, ncnn, PaddlePaddle, Caffe2, Barracuda, Tengine, TNN, RKNN, MindSpore Lite, and UFF. Netron has experimental support for TensorFlow, PyTorch, TorchScript, OpenVINO, Torch, Arm NN, BigDL, Chainer, CNTK, Deeplearning4j, MediaPipe, ML.NET, scikit-learn, TensorFlow.js. There is an extense variety of sample model files to download or open using the browser version. It is supported by macOS, Windows, Linux, Python Server and browser.
    Downloads: 50 This Week
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  • 11
    Pony OS

    Pony OS

    My Little Unix: Kernels are Magic

    ...It features a monolithic kernel written in C and aims for a POSIX-compliant environment with a built-from-scratch userland. ponyos includes a graphical interface, dynamic linker, shared libraries, and a package manager. It’s designed for fun, experimentation, and as a platform to learn and play with operating system internals, with surprisingly advanced features given its hobbyist origin.
    Downloads: 15 This Week
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  • 12
    supervision

    supervision

    We write your reusable computer vision tools

    We write your reusable computer vision tools. Whether you need to load your dataset from your hard drive, draw detections on an image or video, or count how many detections are in a zone. You can count on us.
    Downloads: 8 This Week
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  • 13
    free-code

    free-code

    The free build of Claude Code

    Free-code is an open-source platform aimed at providing accessible coding resources, tools, or templates that help developers learn, build, and share projects without barriers. It typically focuses on simplifying the development process by offering prebuilt components, example projects, or utilities that can be reused across different applications. The project is designed to encourage collaboration and knowledge sharing within the developer community, making it easier for beginners and experienced developers alike to access useful code snippets and frameworks. ...
    Downloads: 12 This Week
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  • 14
    Docker-Zero-to-Hero

    Docker-Zero-to-Hero

    Repo to learn Docker with examples

    ...The style is beginner-friendly and frequently uses analogies and screenshots to make abstract concepts more relatable, for instance contrasting the size of an Ubuntu container image to a full VM. The repo also links to a full YouTube playlist, so you can learn via video while using the GitHub materials as a companion guide.
    Downloads: 0 This Week
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  • 15
    Rust Latam

    Rust Latam

    Learn to write Rust procedural macros

    This is a workshop/repository by the Rust developer David Tolnay (dtolnay) intended to teach how to write Rust procedural macros (derive macros, function-like macros, attribute macros). The repo contains multiple toy/realistic macro projects drawn from real use-cases: e.g., derive(Builder), derive(CustomDebug), seq!, #[sorted], #[bitfield]. The README indicates the focus is on learning: parsing token streams, generating code, handling generics, attribute arguments, etc. It has test harness...
    Downloads: 0 This Week
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  • 16
    handson-ml

    handson-ml

    Teaching you the fundamentals of Machine Learning in python

    handson-ml hosts the notebooks for the first edition of the same hands-on ML book, reflecting the tooling and idioms of its time while teaching durable concepts. It walks through supervised and unsupervised learning with scikit-learn, then introduces deep learning using the earlier TensorFlow 1 graph-execution style. The examples underscore fundamentals like bias-variance trade-offs, regularization, and proper validation, grounding learners before they move to deep nets. Even though the deep learning stack evolved, the classical ML sections remain highly relevant for production data problems. ...
    Downloads: 0 This Week
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  • 17
    CutLER

    CutLER

    Code release for Cut and Learn for Unsupervised Object Detection

    CutLER is an approach for unsupervised object detection and instance segmentation that trains detectors without human-annotated labels, and the repo also includes VideoCutLER for unsupervised video instance segmentation. The method follows a “Cut-and-LEaRn” recipe: bootstrap object proposals, refine them iteratively, and train detection/segmentation heads to discover objects across diverse datasets. The codebase provides training and inference scripts, model configs, and references to benchmarking results that report large gains over prior unsupervised baselines. It’s intended for researchers exploring self-supervised and unsupervised recognition, offering a practical path to scale beyond costly labeled corpora. ...
    Downloads: 0 This Week
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  • 18
    TensorFlow Model Optimization Toolkit

    TensorFlow Model Optimization Toolkit

    A toolkit to optimize ML models for deployment for Keras & TensorFlow

    ...In many cases, pre-optimized models can improve the efficiency of your application. Try the post-training tools to optimize an already-trained TensorFlow model. Use training-time optimization tools and learn about the techniques.
    Downloads: 0 This Week
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  • 19
    Eclipse Collections

    Eclipse Collections

    Eclipse Collections is a collections framework for Java

    ...Eclipse Collections provides a memory-efficient implementation of Sets and Maps as well as primitive collections. Check out the Eclipse Collections Kata, a fun way to help you learn idiomatic Eclipse Collections usage. This particular kata is set up as a series of unit tests that fail. Your task is to make them pass, using Eclipse Collections.
    Downloads: 0 This Week
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  • 20
    NGXS

    NGXS

    State management for Angular

    NGXS is a state management pattern + library for Angular. It acts as a single source of truth for your application's state, providing simple rules for predictable state mutations. NGXS is modeled after the CQRS pattern popularly implemented in libraries like Redux and NgRx but reduces boilerplate by using modern TypeScript features such as classes and decorators. NGXS tries to make things as simple and accessible as possible. There can be a lot of boilerplate code in state management, thus a...
    Downloads: 0 This Week
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  • 21
    Sentry JS

    Sentry JS

    Sentry SDKs for JavaScript

    From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications, from the frontend to the backend. Over 1M developers and 80K organizations already ship better software faster with Sentry application monitoring. Won’t you join them? Learn the ins and outs of distributed tracing and how it can assist you in monitoring the increasingly complex requirements of full-stack applications. ...
    Downloads: 0 This Week
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  • 22
    Materialize

    Materialize

    Materialize, a web framework based on Material Design

    ...Using VanillaJS and as less dependencies as possible to keep it fast and simple. We use TypeScript since it builds upon JavaScript and enhances the type- and code safety. You don't have to learn or integrate any new or crappy stuff. The goal here is to stick to the roots. Just copy and paste from the documentation and you are good to go. Most of the Features work event without JavaScript. Components should be useable by mobile devices and easily accessible by keyboard too. Try it out. User-centric approach with established design principles mainly from Google's Material guidelines. ...
    Downloads: 20 This Week
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  • 23
    PyQuil

    PyQuil

    A Python library for quantum programming using Quil

    ...To learn more about the tutorials and how you can add your own, visit the rigetti/forest-tutorials repository. If you'd rather set everything up locally, or are interested in contributing to pyQuil, continue to the next section for instructions on installing pyQuil and the Forest SDK.
    Downloads: 1 This Week
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  • 24
    Driver.js

    Driver.js

    A lightweight, dependency-free JavaScript library

    Driver.js is a lightweight, framework-agnostic JavaScript library for building guided tours, feature spotlights, and product walkthroughs. It programmatically highlights elements on a page, dims the background, and attaches callouts so users learn new flows without leaving the UI. The API lets you define steps, order, and behavior, while handling positioning, scrolling, and viewport collisions gracefully. It strives to be unobtrusive: tours can be triggered contextually, resumed, or dismissed without hijacking the app. Accessibility and keyboard interaction are considered so tours remain usable beyond simple mouse clicks. ...
    Downloads: 13 This Week
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  • 25
    OctoPi

    OctoPi

    Raspberry PI distro for controlling 3D printers over the web

    ...OctoPi includes the OctoPrint software for 3d printer and a mjpg-streamer, which can be used to stream JPEG files over an IP-based network. Includes RaspiCam support. Learn how you can support OctoPrint here. https://octoprint.org/support-octoprint/
    Downloads: 10 This Week
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