MLX: An array framework for Apple silicon
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Universal LLM Deployment Engine with ML Compilation
Apple Silicon (MLX) port of Karpathy's autoresearch — autonomous AI research loops on Mac, no PyTorch required.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
mlpack: a fast, header-only C++ machine learning library
A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators. It is hosted in OpenAtom Foundation.
