Showing 26670 open source projects for "code"

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  • 1
    Cua

    Cua

    Open-source infrastructure for Computer-Use Agents. Sandboxes

    Cua is an open-source command-line utility and workflow orchestrator designed to help developers define, compose, and run common tasks with a unified interface, promoting consistency and reuse across projects. It introduces a declarative syntax for specifying build scripts, automation pipelines, environment setups, and project-specific commands so contributors don’t need to memorize disparate scripts or tooling across languages and ecosystems. Cua can also manage task dependencies, handle...
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  • 2
    MiniMind-V

    MiniMind-V

    "Big Model" trains a visual multimodal VLM with 26M parameters

    MiniMind-V is an experimental open-source project that aims to train a very small multimodal vision–language model (VLM) from scratch with extremely low compute and cost, making research and experimentation accessible to more people. The repository showcases training workflows and code designed to produce a 26-million parameter model—including both image and text capabilities—using minimal resources in very little time, reflecting a trend toward democratizing AI research. MiniMind-V combines techniques from modern vision-language modeling but focuses on efficiency and simplicity so that individuals or small teams can explore multimodal learning without massive GPU clusters. ...
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  • 3
    Sled

    Sled

    Teleport Claude Code, Codex or Gemini CLI to your phone

    Sled under the layercodedev account appears to be a lightweight web and mobile UI aimed at interacting with local coding agents, likely including AI-assisted coding models or remote execution integrations; it’s designed in TypeScript/JavaScript and intended to let developers use or control coding agents from various devices. Although specific details in the repository are limited without direct project documentation, context and related online mentions indicate it functions as a local...
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  • 4
    IntelliJ Platform Plugin Template

    IntelliJ Platform Plugin Template

    Template repository for creating plugins for IntelliJ Platform

    The IntelliJ-Platform-Plugin-Template is a fully configured starter project that helps developers quickly create, build, and publish plugins for the JetBrains IntelliJ Platform, which includes IDEs like IntelliJ IDEA, PyCharm, WebStorm, and others. It sets up standard project structures, build scripts (usually with Gradle), sample plugin code, and example configurations so developers can focus immediately on the functionality they want to add rather than setup boilerplate. This template supports modern plugin development workflows, including UI extensions, language support tooling, actions, tool windows, intentions, inspections, and more, providing sensible defaults that follow JetBrains recommended patterns. ...
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  • 5
    RStudio

    RStudio

    RStudio is an integrated development environment (IDE) for R

    ...The IDE is cross-platform: there are desktop versions for Windows, macOS and Linux, as well as a server version for remote or multi-user deployment via a web browser. In addition to code editing and execution, RStudio offers extensive support for reproducible research via R Markdown, notebooks, and integration with version control systems like Git and SVN. Package development is built in, with tooling for building, checking, and testing R packages, plus integration with documentation tools, CRAN submission workflows, and project templates.
    Downloads: 6 This Week
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  • 6
    Rust Latam

    Rust Latam

    Learn to write Rust procedural 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 and workflow guidance. Because procedural macros are quite subtle in Rust, this workshop is a strong resource for anyone wanting to go from beginner to intermediate/advanced macro writing.
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  • 7
    handson-ml

    handson-ml

    Teaching you the fundamentals of Machine Learning in python

    ...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. The code is crafted to be clear rather than clever, prioritizing readability for newcomers. As a historical snapshot and a still-useful primer, it pairs well with the second edition for understanding how the ecosystem matured.
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  • 8
    frame.js

    frame.js

    JavaScript Sequence Editor

    ...Because it centralizes timing, it becomes easier to coordinate multiple animated elements or throttle work on low-power devices. For creative coding, micro-games, and UI flourishes, it offers just enough structure to keep animation code tidy.
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  • 9
    ALE

    ALE

    Check syntax in Vim/Neovim asynchronously and fix files

    ...The project focuses on breadth and practicality: dozens of languages work out of the box, and configuration is usually a matter of selecting tools you already use on the command line. ALE can also act as a lightweight Language Server Protocol client, providing go-to-definition, hover, and code actions through LSP servers when available. Its fix-on-save pipelines and formatter integration help enforce team style guides reliably and repeatably. For large codebases and slower linters, ALE’s job queueing and smart debouncing prevent UI hiccups while still surfacing timely results.
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  • 10
    mcpo

    mcpo

    A simple, secure MCP-to-OpenAPI proxy server

    mcpo is a minimal bridge that exposes any MCP tool as an OpenAPI-compatible HTTP server. Instead of writing glue code, you point mcpo at an MCP server command and it generates REST endpoints and an OpenAPI spec that other systems (or LLM agent frameworks) can call immediately. This design lets you reuse a growing library of MCP servers with platforms that only understand HTTP+OpenAPI, unifying tool access across ecosystems. The project emphasizes “dead-simple” setup and pairs with Open WebUI documentation that shows end-to-end integration. ...
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  • 11
    NeuMan

    NeuMan

    Neural Human Radiance Field from a Single Video (ECCV 2022)

    ...The pipeline separates human/body and environment, learning consistent geometry and appearance to support animation. Demos showcase sequences such as dance and handshake, and the code provides guidance for running evaluations and rendering. As a research release, it serves both as a baseline and as a starting point for work on human-centric NeRFs. The emphasis is on practical reconstruction quality from minimal capture setups. Compositional outputs to blend humans and backgrounds. Novel view and novel pose synthesis from learned radiance fields.
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  • 12
    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...
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  • 13
    fpinscala

    fpinscala

    Code, exercises, answers, and hints to go along with the book

    The fpinscala repository provides exercises, hints, and solutions for the book Functional Programming in Scala, serving as a companion resource for anyone studying the text. It is designed to guide learners through each chapter of the book by offering exercise stubs, partial implementations, and progressively developed code examples. As readers work through the book, they can complete exercises directly in the provided Scala files, building a library of functional programming constructs along the way. For those who need guidance, the repository includes hints and fully worked answers, with explanations and variations to deepen understanding. The project covers both the first and second editions of the book, with separate branches to match the edition being studied. ...
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  • 14
    CLIP

    CLIP

    CLIP, Predict the most relevant text snippet given an image

    ...Once trained, you can give it any text labels and ask it to pick which label best matches a given image—even without explicit training for that classification task. The repository provides code for model architecture, preprocessing transforms, evaluation pipelines, and example inference scripts. Because it generalizes to arbitrary labels via text prompts, CLIP is a powerful tool for tasks that involve interpreting images in terms of descriptive language.
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  • 15
    Ling

    Ling

    Ling is a MoE LLM provided and open-sourced by InclusionAI

    ...As more developers and researchers engage with the platform, we can expect rapid advancements and improvements, leading to even more sophisticated applications. Model inference and API code (e.g. integration with Transformers). This collaborative approach accelerates development and ensures that the models remain at the forefront of technology, addressing emerging challenges in various fields.
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  • 16
    CSS Inspiration

    CSS Inspiration

    Curated collection of interesting, creative, or inspiring CSS effects

    ...The collection ranges from micro-interactions and loaders to 3D transforms, complex backgrounds, hover states, and text effects, each presented as a small, self-contained demo. Source code is front and center, encouraging developers to study, copy, and tweak snippets for their own projects. Many examples lean on contemporary features—custom properties, filters, blend modes, gradients, and keyframes—serving as both inspiration and a practical cookbook. Because each demo focuses on a single idea, it’s an effective way to learn new techniques without wading through a full framework. ...
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  • 17
    Microsoft BASIC for 6502 Microprocessor

    Microsoft BASIC for 6502 Microprocessor

    Microsoft BASIC for 6502 Microprocessor

    Microsoft BASIC for 6502 is the original assembly-language source code for Microsoft’s BASIC interpreter version 1.1, written for the MOS Technology 6502 8-bit microprocessor back in the late 1970s. It was used on pioneering personal computers (such as the Apple II, Commodore PET, etc.), enabling users to write and run programs in BASIC on those systems. The repo contains the full source (in 6502 assembly), with support for multiple hardware platforms via conditionals, includes floating-point arithmetic, string handling, arrays, math functions, I/O, etc. ...
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  • 18
    Containerization (Apple)

    Containerization (Apple)

    Containerization is a Swift package for running Linux containers

    ...Developers get a blueprint for taking standard container images and running them in a way that respects platform conventions, tooling, and policies. The emphasis is on clarity and standards alignment rather than building a production-grade engine, which makes the code ideal for learning and experimentation.
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  • 19
    targets

    targets

    Function-oriented Make-like declarative workflows for R

    The targets package is a pipeline / workflow management tool in R, designed to coordinate multi‐step computational workflows in data science / statistics. It tracks dependencies between “targets” (computational steps), skips steps whose upstream data or code hasn’t changed, supports parallel computation, branching (dynamic generation of sub‐targets), file format abstractions, and encourages reproducible and efficient analyses. It’s something like GNU Make for R, but more integrated. Skipping computation for up-to-date targets so that unchanged parts of the workflow are not recomputed. ...
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  • 20
    Agda

    Agda

    Agda is a dependently typed programming language

    Agda is a dependently typed, total functional programming language and interactive theorem prover based on Martin-Löf’s type theory. It allows expressing programs and proofs in the same language, using the Curry–Howard correspondence. It features interactive development via Emacs, Atom, or VS Code. Agda is a dependently typed functional programming language. It has inductive families, i.e., data types which depend on values, such as the type of vectors of a given length. It also has parametrised modules, mixfix operators, Unicode characters, and an interactive Emacs interface which can assist the programmer in writing the program. ...
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  • 21
    DeepEval
    DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning,...
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  • 22
    Zine

    Zine

    Fast, Scalable, Flexible Static Site Generator (SSG)

    A Zine site is a collection of content files and layouts. Zine turns your content into HTML, styles it using your layouts, and finally copies the result (alongside other assets like images) into an output directory that you can then publish on static hosting services like GitHub Pages. Zine uses a structured approach to content authoring that helps keep sizeable content collections manageable. Similarly, the build process uses surgical dependency tracking to ensure minimal rebuilds, keeping...
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  • 23
    Alova.js

    Alova.js

    Workflow-Streamlined next-generation request tools

    Extremely streamline API integration workflow. Quickly find APIs in the editor, and enjoy full type hints even in js projects with the API code automatically generated by Alova's extension. Request in various complex scenes by one line of code. Automatically manage paging data, and data preloading, reduce unnecessary data refresh, improve fluency by 300%, and reduce coding difficulty by 50%. Send requests immediately by watching state changes, useful in tab switching and condition querying. ...
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  • 24
    Tribe AI

    Tribe AI

    Low code tool to rapidly build and coordinate multi-agent teams

    Low code tool to rapidly build and coordinate multi-agent teams. Have you heard the saying, 'Two minds are better than one'? That's true for agents too. Tribe leverages on the langgraph framework to let you customize and coordinate teams of agents easily. By splitting up tough tasks among agents who are good at different things, each one can focus on what it does best.
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  • 25
    TPOT

    TPOT

    A Python Automated Machine Learning tool that optimizes ML

    Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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