Python library that runs large language model inference layer by layer, so 70B-class models fit on a single 4GB GPU without quantization.
MCP server and Unity Editor package that lets AI assistants control scenes, scripts, assets, tests, and builds in Unity.
Open-source text-to-speech library with a 1.7B 1-bit speech model and lightweight ONNX models that run on CPU.
Inference engine for running AI models locally inside apps, with Rust core and Swift, Python, and TypeScript bindings.
Static recompilation runtime libraries and analysis tools for translating PlayStation 3 binaries into native C/C++ executables.
A Python-embedded domain-specific language and TVM-based compiler for writing high-performance GPU, CPU, and NPU kernels.
General-purpose toolkit implementing TLS, DTLS, and QUIC protocols on top of a standalone cryptographic library and CLI.
Open-source TypeScript SDK for embedding spreadsheet, document, presentation, and table editing into your own applications.
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.
An end-to-end open source platform for building and deploying machine learning models, with Python and C++ APIs.