Topics / #rocm

Rocm projects on GitHub

AMD GPU compute ecosystem for machine learning workloads on Radeon hardware.

As of , the most-starred Rocm projects on GitHub are ComfyUI (137.9K stars), pytorch (104.8K stars) and vllm (94K stars). GitHub.Locker tracks 31 Rocm repositories with 770.5K stars combined. The fastest-growing on October 16 was ComfyUI, with +205 stars in a day.

31Projects
770.5KStars in total
+545Stars in a day
Browse in the catalog →github.com/topics/rocm ↗

Hot right now

Most stars gained in a day · Oct 16

+205

ComfyUI

Comfy-Org/ComfyUI · ★ 137.9K

ComfyUI is a node-based graph interface for building and running diffusion model workflows: image, video, 3D, and audio generation, editing, and more, all without writing code.

+73

vllm

vllm-project/vllm · ★ 94K

vLLM is a library for fast LLM inference and serving, built around PagedAttention for efficient memory management of attention keys and values.

+58

project-maya

mw00/project-maya · ★ 954

Project Maya lets you run GLM-5.3-Flash, a 321-billion-parameter mixture-of-experts AI model, on your own NVIDIA GPU(s) by streaming the model's experts across VRAM, RAM and NVMe SSD as the conversation needs them.

+35

pytorch

pytorch/pytorch · ★ 104.8K

PyTorch is a Python package providing fast tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system, serving as both a NumPy-like GPU library and a flexible deep learning research platform.

The all-time top

31 projects · by stars

  1. #1 · Comfy-Org/ComfyUI

    ComfyUI

    ComfyUI is a node-based graph interface for building and running diffusion model workflows: image, video, 3D, and audio generation, editing, and more, all without writing code.

    137.9K
  2. #2 · pytorch/pytorch

    pytorch

    PyTorch is a Python package providing fast tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system, serving as both a NumPy-like GPU library and a flexible deep learning research platform.

    104.8K
  3. #3 · vllm-project/vllm

    vllm

    vLLM is a library for fast LLM inference and serving, built around PagedAttention for efficient memory management of attention keys and values.

    94K
  1. 4

    faceswap

    57.6Kdeepfakes/faceswap · Python

    FaceSwap is a Python tool that uses deep learning to recognize and swap faces in pictures and videos.

  2. 5

    textgen

    47.7Koobabooga/textgen · Python

    TextGen is an open-source desktop app for running local LLMs with text, vision, tool-calling, and an OpenAI/Anthropic-compatible API, built to be 100% private with no telemetry.

  3. 6

    DeepSpeed

    43.2Kdeepspeedai/DeepSpeed · Python

    DeepSpeed is a deep learning optimization library that makes distributed training and inference of very large models easy, efficient and effective — it powered models like MT-530B and BLOOM.

  4. 7

    btop

    35Karistocratos/btop · C++

    A terminal resource monitor that shows usage and stats for processor, memory, disks, network and processes. It is the C++ version and continuation of bashtop and bpytop.

  5. 8

    self-llm

    32.5Kdatawhalechina/self-llm · Jupyter Notebook

    Self-llm is a Chinese-language tutorial collection that teaches beginners how to configure environments, deploy, and fine-tune (full-parameter or LoRA) 50+ open-source large language models and multimodal models on Linux.

  6. 9

    apollo

    26.9KApolloAuto/apollo · C++

    An open autonomous driving platform from Baidu: a high-performance, flexible software stack covering perception, prediction, planning and control, for developing, testing and deploying self-driving vehicles.

  7. 10

    ds4

    23.9Kantirez/ds4 · C

    DwarfStar (ds4) is a small, self-contained local inference engine specialized for running DeepSeek V4 Flash and PRO, plus GLM 5.2/5.3, on consumer hardware like high-memory Macs, NVIDIA GPUs, and AMD Strix Halo systems.

  8. 11

    mlc-llm

    23.2Kmlc-ai/mlc-llm · Python

    MLC LLM is a machine learning compiler and high-performance deployment engine that lets you run large language models natively on almost any platform, from servers to phones to the browser.

  9. 12

    ktransformers

    19.6Kkvcache-ai/ktransformers · Python

    KTransformers is a research framework for efficient inference and fine-tuning of large language models through CPU-GPU heterogeneous computing, letting huge MoE models run on hardware that doesn't have enough VRAM to hold them entirely on GPU.

  10. 13

    mamba

    18.9Kstate-spaces/mamba · Python

    Mamba is a state space model architecture for sequence modeling with linear-time scaling. It shows promising performance on information-dense data like language modeling, where earlier subquadratic models fell short of Transformers; this repo is its PyTorch implementation.

  11. 14

    burn

    16.1Ktracel-ai/burn · Rust

    Burn is a Rust tensor library and deep learning framework for both training and inference, so the same code takes a model from prototype to production on everything from GPU clusters to the browser.

  12. 15

    CorridorKey

    14.8Knikopueringer/CorridorKey · Python

    CorridorKey is a neural network tool that keys green or blue screen footage, predicting the true un-multiplied foreground color and a clean linear alpha channel for every pixel, including semi-transparent ones like motion blur or out-of-focus edges.

  13. 16

    tvm

    13.8Kapache/tvm · Python

    Apache TVM is an open machine learning compiler framework that turns trained models into optimized, deployable code for a wide range of hardware targets.

  14. 17

    cupy

    12.4Kcupy/cupy · Python

    CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python: you write ordinary Python array code, and it executes on NVIDIA or AMD GPUs.

  15. 18

    LMCache

    12.1KLMCache/LMCache · Python

    LMCache is a KV cache management layer for LLM inference that turns the KV cache from a temporary, per-process state into reusable, persistent 'AI-native knowledge' that can be shared across serving engines, reducing time-to-first-token and boosting throughput for long-context, multi-turn, and RAG workloads.

  16. 19

    text-generation-inference

    10.9Khuggingface/text-generation-inference · Python

    Text Generation Inference (TGI) is a toolkit for deploying and serving large language models — a Rust, Python and gRPC server that powers Hugging Chat, the Inference API and Inference Endpoints at Hugging Face.

  17. 20

    xformers

    10.6Kfacebookresearch/xformers · Python

    xFormers is Meta's (Facebook Research) toolbox of hackable, optimized Transformer building blocks that you compose together — reusable pieces for your own models rather than a monolithic framework.

  18. 21

    koharu

    6.4Kkoharu-rs/koharu · Rust

    Koharu is an ML-powered manga translator written in Rust that combines object detection, OCR, inpainting, and LLMs to automate translating manga pages while running everything locally.

  19. 22

    Bonsai-demo

    3.4KPrismML-Eng/Bonsai-demo · Shell

    Bonsai Demo is a local-inference demo for Bonsai 2 27B, a ternary-weight large language model that runs on a laptop or single GPU via llama.cpp or MLX, with chat, vision, and agentic tool-calling support out of the box.

  20. 23

    halogen-flash-server

    1Kpeonist-ai/halogen-flash-server · Shell

    halogen-flash-server is a purpose-built inference server for running the Qwen3.8-Flash-Next model as fast as possible on AMD's Strix Halo (gfx1151) GPU, exposing an OpenAI-compatible API.

  21. 24

    project-maya

    954mw00/project-maya · C++

    Project Maya lets you run GLM-5.3-Flash, a 321-billion-parameter mixture-of-experts AI model, on your own NVIDIA GPU(s) by streaming the model's experts across VRAM, RAM and NVMe SSD as the conversation needs them.

  22. 25

    gufo

    781gufo-org/gufo · C++

    Gufo is a local inference engine built specifically for AMD Strix Halo hardware (Ryzen AI MAX+ 395 with Radeon 8060S / gfx1151, up to 128 GiB unified memory), serving text, speech, image and video models through an OpenAI-compatible API.

  23. 26

    verl

    716XiaomiMiMo/verl · Python

    verl is an open-source RL post-training framework for large language models, started by ByteDance Seed as the open-source version of the HybridFlow paper. This XiaomiMiMo fork adds agentic RL training code for MiMo, with reproduction code for five RL environments on top of verl 0.9.0.dev.

  24. 27

    qwen38-mtp

    363sudoingX/qwen38-mtp · Python

    This repo documents a single llama.cpp server flag that unlocks multi-token-prediction (MTP) speculative decoding for Qwen3.8-27B, giving +33% to +145% faster decode on consumer GPUs. It bundles the exact launch command, a crowdsourced benchmark table across dozens of GPUs, and a probe.py script for measuring the gain yourself.

  25. 28

    CUDA-for-AMD-Windows

    321Speedstu/CUDA-for-AMD-Windows · Python

    A Windows compatibility stack that runs CUDA-targeted applications on AMD GPUs via ZLUDA plus AMD ROCm/HIP, with tooling to verify the work truly executes on the GPU instead of silently falling back to CPU or producing wrong results.

  26. 29

    d4r

    288countervolts/d4r · C++

    d4r runs NVIDIA's official DLSS Super Resolution library inside Windows games on AMD Radeon GPUs under Linux and Proton, translating the DLSS network through ZLUDA (CUDA on ROCm/HIP) and replacing the heaviest kernels with hand-written RDNA3/RDNA4 code. It supports the DLSS 3 CNN model and the DLSS 4/4.5 transformer models; DLSS 5 is not supported.

  27. 30

    Hyperloom

    241AMD-AGI/Hyperloom · Python

    A multi-agent harness that autonomously optimizes LLM inference on AMD Instinct GPUs: it profiles your workload, searches framework and GPU-kernel optimizations, validates every candidate end to end, and saves proven results into a recipe knowledge base.

  28. 31

    Bud-Decision-Studio

    110BudEcosystem/Bud-Decision-Studio · HTML

    Bud Decision Studio is a cross-platform desktop app and local serving system for 'decision models' (Jev-like 'System One' models): you give it a situation and typed questions, and it returns a calibrated probability for every allowed answer instead of generated text.

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