Topics / #hip

Hip projects on GitHub

Ambiguous acronym, possibly AMD's HIP GPU compute platform; context is limited.

As of , the most-starred Hip projects on GitHub are DLSS-NR-on-AMD (2.5K stars), halogen-flash-server (1K stars) and CUDA-for-AMD-Windows (321 stars). GitHub.Locker tracks 6 Hip repositories with 4.6K stars combined. The fastest-growing on October 16 was DLSS-NR-on-AMD, with +16 stars in a day.

6Projects
4.6KStars in total
+30Stars in a day
Browse in the catalog →github.com/topics/hip ↗

Hot right now

Most stars gained in a day · Oct 16

+16

DLSS-NR-on-AMD

danielblnc/DLSS-NR-on-AMD · ★ 2.5K

This is a mod that lets you run DLSS 5 Neural Rendering on AMD Radeon GPUs (RX 7000/9000 series) in any DirectX 12 game that supports FSR, by reimplementing the DLSS neural network runtime for AMD hardware from scratch.

+9

halogen-flash-server

peonist-ai/halogen-flash-server · ★ 1K

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.

+3

d4r

countervolts/d4r · ★ 288

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.

+2

Hyperloom

AMD-AGI/Hyperloom · ★ 241

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.

The all-time top

6 projects · by stars

  1. #1 · danielblnc/DLSS-NR-on-AMD

    DLSS-NR-on-AMD

    This is a mod that lets you run DLSS 5 Neural Rendering on AMD Radeon GPUs (RX 7000/9000 series) in any DirectX 12 game that supports FSR, by reimplementing the DLSS neural network runtime for AMD hardware from scratch.

    2.5K
  2. #2 · peonist-ai/halogen-flash-server

    halogen-flash-server

    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.

    1K
  3. #3 · Speedstu/CUDA-for-AMD-Windows

    CUDA-for-AMD-Windows

    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.

    321
  1. 4

    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.

  2. 5

    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.

  3. 6

    qxotic

    175qxoticai/qxotic · Java

    Qxotic is an open-source AI stack built specifically for the JVM, giving Java applications local AI inference — chat, vision, audio, embeddings, reranking and text-to-speech — without needing Python or ONNX.

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