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

Stable Diffusion web UI

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

Large-scale LLM inference engine

stdgpu: Efficient STL-like Data Structures on the GPU

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

Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support

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

AMD GPU (ROCm) programming in Julia

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface. Now ZLUDA enhanced for better AMD GPU performance.

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.

Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm