Python library that runs large language model inference layer by layer, so 70B-class models fit on a single 4GB GPU without quantization.
Framework for creating videos programmatically using React components, with rendering to MP4 and other formats.
Reverse-engineering analysis plugin and visual workbench for DeepSeek Harness, combining static analysis, debugging, HTTP capture and protocol decoding.
MCP server and Unity Editor package that lets AI assistants control scenes, scripts, assets, tests, and builds in Unity.
Opinionated framework for building production-ready, standalone Spring applications with minimal configuration.
A C library for videogame programming with 2D/3D graphics, input, audio, and windowing across desktop, mobile, web, and embedded platforms.
JavaScript library for creating and rendering 3D scenes in the browser via WebGL and WebGPU renderers.
A mod loader and C++ modding SDK for Geometry Dash that provides hooks, UI, and tooling for building mods.
Open-source C++ library of computer vision and image processing algorithms, with bindings for Python, Java, and other languages.
Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.
PyTorch library for audio generation research, providing inference and training code for MusicGen, AudioGen, and EnCodec.
Framework for building small native desktop apps with a txiki.js JavaScript backend and a system webview frontend.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
Swift SDK running open-source speech models (ASR, TTS, VAD, speaker diarization) locally on Apple devices via CoreML and the Neural Engine.
Source for Firebase's open-source Apple platform libraries, covering auth, Firestore, messaging, storage, and more for iOS and macOS apps.
Python library providing GPU-accelerated tensor computation like NumPy, plus a tape-based autograd system for building deep neural networks.