Showing 16443 open source projects for "source code"

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  • 1
    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...
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  • 2
    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...
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  • 3
    frame.js

    frame.js

    JavaScript Sequence Editor

    frame.js is a tiny utility for orchestrating frame-based animations with requestAnimationFrame while keeping code clean and predictable. It abstracts the boilerplate of setting up a render loop, tracking elapsed time, and updating callbacks at the right cadence. By providing a simple lifecycle—start, stop, tick—it encourages separation between state updates and rendering, which is essential for smooth visuals. The library aims to be unobtrusive: you can drop it into demos or prototypes...
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  • 4
    ALE

    ALE

    Check syntax in Vim/Neovim asynchronously and fix files

    ALE is an asynchronous linting and fixing engine for Vim and Neovim that keeps feedback flowing without blocking your editor. It runs external linters and formatters in the background as you type or save, streaming diagnostics into the sign column and statusline. 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...
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  • 5
    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...
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  • 6
    NeuMan

    NeuMan

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

    NeuMan is a reference implementation that reconstructs both an animatable human and its background scene from a single monocular video using neural radiance fields. It supports novel view and novel pose synthesis, enabling compositional results like transferring reconstructed humans into new scenes. 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...
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  • 7
    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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  • 8
    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...
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  • 9
    CLIP

    CLIP

    CLIP, Predict the most relevant text snippet given an image

    CLIP (Contrastive Language-Image Pretraining) is a neural model that links images and text in a shared embedding space, allowing zero-shot image classification, similarity search, and multimodal alignment. It was trained on large sets of (image, caption) pairs using a contrastive objective: images and their matching text are pulled together in embedding space, while mismatches are pushed apart. Once trained, you can give it any text labels and ask it to pick which label best matches a given...
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  • 10
    CSS Exercises
    This repository provides a set of hands-on CSS exercises that accompany the HTML and CSS modules in The Odin Project curriculum. The tasks are designed to be completed at specific points in the course, reinforcing each concept right after it is introduced. Learners are encouraged to use documentation and external resources freely, reflecting real-world workflows rather than rote memorization. Each exercise focuses on practical styling problems, from selectors and specificity to layout...
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  • 11
    Containerization (Apple)

    Containerization (Apple)

    Containerization is a Swift package for running Linux containers

    This repository provides educational material and sample code that demystify how containerization works and how container components fit together in practice. It walks through the responsibilities of an image format, registry, and runtime, and shows how a minimal runtime can assemble an isolated process with the right filesystem view, environment, and entrypoint. The samples highlight security hardening considerations—such as process isolation, filesystem scoping, and least-privilege...
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  • 12
    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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  • 13
    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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  • 14
    AstroNvim

    AstroNvim

    AstroNvim is an aesthetic and feature-rich neovim config

    AstroNvim is an aesthetic and feature-rich neovim config that is extensible and easy to use with a great set of plugins. AstroNvim is provided as a plugin that can be installed with the lazy.nvim plugin manager and then used to import all of the plugin configurations that AstroNvim provides. To quickly get started it is recommended to start with the official AstroNvim Template which provides a great starting point for a new AstroNvim based configuration. We found other Neovim configurations...
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  • 15
    zag

    zag

    Finite state machines for building accessible design systems and UI

    A collection of framework-agnostic UI components patterns like an accordion, menu, and dialog that can be used to build design systems for React, Vue, and Solid.js. Simple, resilient component logic. Write component logic once and use it anywhere. Built-in adapters that connect machine output to DOM semantics in a WAI-ARIA-compliant way. Component logic is largely JavaScript code and can be consumed in any JS framework. Zag machine APIs are completely headless and unstyled. Use your favorite...
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  • 16
    Tenancy for Laravel

    Tenancy for Laravel

    Automatic multi-tenancy for Laravel. No code changes needed

    A flexible multi-tenancy package for Laravel. Single & multi-database tenancy, automatic & manual mode, event-based architecture. Integrates perfectly with other packages. stancl/tenancy is a flexible multi-tenancy Laravel package that comes with lots of features out-of-the-box and doesn't stand in your way when you need anything custom. Instead of forcing you to change how you write your code, the package by default bootstraps tenancy automatically, in the background. Database connections...
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  • 17
    Knative Serving

    Knative Serving

    Kubernetes-based, scale-to-zero, request-driven compute

    Knative Serving defines a set of objects as Kubernetes Custom Resource Definitions (CRDs). These resources are used to define and control how your serverless workload behaves on the cluster. The service.serving.knative.dev resource automatically manages the whole lifecycle of your workload. It controls the creation of other objects to ensure that your app has a route, a configuration, and a new revision for each update of the service. Service can be defined to always route traffic to the...
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  • 18
    Tilt

    Tilt

    Define dev environment as code for microservice apps on Kubernetes

    A toolkit for fixing the pains of microservice development. Understand & orchestrate your services, work smarter & faster wherever you are, and team-based productivity. See all the pieces of your app, and trigger custom workflows like seeding databases or creating infrastructure. Our engine starts the whole app and runs automated rebuilds as you edit in your IDE. Get a continuous feedback loop with your logs, broken builds, and runtime errors. Work with Kubernetes without needing to be an...
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  • 19
    jimmer

    jimmer

    A revolutionary ORM framework for both java and kotlin.

    A revolutionary ORM framework for both Java and kotlin and a complete integrated solution. You can view everything from the documentation. Brings dynamism into static language ORM frameworks, achieving flexible capabilities for operating on complex dynamic data structures without compromising the complete compile-time safety checks of static languages, eliminating DTO explosion and unafraid of engineering expansion and changing requirements. Its innovative SQL DSL supports dynamic table...
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  • 20
    Luxor

    Luxor

    Simple drawings using vector graphics; Cairo "for tourists!"

    Luxor is a Julia package for drawing simple static 2D vector graphics. It provides basic drawing functions and utilities for working with shapes, polygons, clipping masks, PNG and SVG images, turtle graphics, and simple animations. The focus of Luxor is on simplicity and ease of use: it should be easier to use than plain Cairo.jl, with shorter names, fewer underscores, default contexts, and simplified functions. For more complex and sophisticated graphics in 2D and 3D, Makie.jl is the best...
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  • 21
    Guardrails

    Guardrails

    Adding guardrails to large language models

    Guardrails is a Python package that lets a user add structure, type and quality guarantees to the outputs of large language models (LLMs). At the heart of Guardrails is the rail spec. rail is intended to be a language-agnostic, human-readable format for specifying structure and type information, validators and corrective actions over LLM outputs. We create a RAIL spec to describe the expected structure and types of the LLM output, the quality criteria for the output to be considered valid,...
    Downloads: 3 This Week
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  • 22
    Ludwig AI

    Ludwig AI

    Low-code framework for building custom LLMs, neural networks

    Declarative deep learning framework built for scale and efficiency. Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. 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. Automatic batch size selection, distributed training (DDP, DeepSpeed),...
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  • 23
    IXWebSocket

    IXWebSocket

    websocket and http client and server library, with TLS support

    IXWebSocket is a C++ library for WebSocket client and server development. It has minimal dependencies (no boost), is very simple to use and support everything you'll likely need for websocket dev (SSL, deflate compression, compiles on most platforms, etc...). HTTP client and server code is also available, but it hasn't received as much testing. It is been used on big mobile video game titles sending and receiving tons of messages since 2017 (iOS and Android). It was tested on macOS, iOS,...
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  • 24
    MyBatis Spring Adapter

    MyBatis Spring Adapter

    Spring integration for MyBatis 3

    MyBatis-Spring adapter is an easy-to-use Spring Framework bridge for MyBatis sql mapping framework. MyBatis-Spring integrates MyBatis seamlessly with Spring. This library allows MyBatis to participate in Spring transactions, takes care of building MyBatis mappers and SqlSessions and inject them into other beans, translates MyBatis exceptions into Spring DataAccessExceptions, and finally, it lets you build your application code free of dependencies on MyBatis, Spring or MyBatis-Spring. Spring...
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  • 25
    SOFA

    SOFA

    The best way to create REST APIs

    Sofa takes your GraphQL Schema, looks for available queries, mutations and subscriptions and turns all of that into REST API. Setup Sofa within a single line of code and start using REST API right away. We want to hear from you, our community of fellow engineers, and come to be collaborators. Sofa takes your GraphQL Schema, looks for available queries, mutations and subscriptions, and turns all of that into REST API. The idea behind Models is to not expose full objects in every response,...
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