A high-throughput and memory-efficient inference and serving engine for LLMs

Open deep learning compiler stack for cpu, gpu and specialized accelerators

NumPy & SciPy for GPU

A deep learning package for many-body potential energy representation and molecular dynamics

stdgpu: Efficient STL-like Data Structures on the GPU

PygmalionAI's large-scale inference engine

Dockerfiles for the various software layers defined in the ROCm software platform

Abstraction Library for Parallel Kernel Acceleration 🦙

Next generation BLAS implementation for ROCm platform

Agenium Scale vectorization library for CPUs and GPUs

AMD GPU (ROCm) programming in Julia

Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster

Tensors and Dynamic neural networks in Python with strong GPU acceleration

HPC solver for nonlinear optimization problems

AOMP is an open source Clang/LLVM based compiler with added support for the OpenMP® API on Radeon™ GPUs. Use this repository for releases, issues, documentation, packaging, and examples.

MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX also delivers a highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions.

Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm

GPUFORT: S2S translation tool for CUDA Fortran and Fortran+X in the spirit of hipify

AMD OpenVX Core -- a sub-module of amdovx-modules: