Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
-
Updated
Oct 15, 2026 - C++
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
Advanced Matrix Extensions (AMX) Guide
Rust wrapper for Apple Matrix Coprocessor (AMX) instructions
SA:MP Plugin Template Library (C++17)
Vehicle Streamer Plugin for SA-MP (San Andreas Multiplayer)
Dialogs with a new design
QR, symmetric eigendecomposition and SVD for batches of matrices on Apple Silicon GPUs, for MLX and PyTorch. 2x to 10x gain in performance. Metal kernels per regime, routed to the GPU or the CPU by policies measured per Mac. C++, Python (pip: metal-linalg, metal-linalg-torch), Swift and C.
An extension for VSCode for programming Netlinx
AMX NetLinx IP Socket Manager
To associate your repository with the amx topic, visit your repo's landing page and select "manage topics."