Topics / #triton

Triton projects on GitHub

As of , the most-starred Triton projects on GitHub are fauxpilot (14.7K stars), Spark-TTS (11K stars) and lectures (6.9K stars). GitHub.Locker tracks 9 Triton repositories with 39.5K stars combined. The fastest-growing on October 17 was SparkDiffusion, with +7 stars in a day.

9Projects
39.5KStars in total
+19Stars in a day
Browse in the catalog →github.com/topics/triton ↗

Hot right now

Most stars gained in a day · Oct 17

+7

SparkDiffusion

AlibabaResearch/SparkDiffusion · ★ 518

SparkDiffusion is an acceleration framework for Diffusion Transformer (DiT) video-generation models. It combines sparse low-rank attention (RoLa), few-step distillation (CrossDistill), and custom GPU operators to deliver 200x+ faster inference than a dense multi-step baseline while preserving generation quality.

+5

lectures

gpu-mode/lectures · ★ 6.9K

This is the supplementary material repository for the GPU MODE lectures YouTube channel — a growing collection of notebooks, slides and code from each numbered lecture on GPU and CUDA programming.

+2

Spark-TTS

SparkAudio/Spark-TTS · ★ 11K

Spark-TTS is a text-to-speech system that uses a large language model (built on Qwen2.5) to generate highly natural, accurate speech, including zero-shot voice cloning.

+2

Hyperloom

AMD-AGI/Hyperloom · ★ 242

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

9 projects · by stars

  1. #1 · fauxpilot/fauxpilot

    fauxpilot

    FauxPilot is an open-source, self-hosted alternative to GitHub Copilot that runs SalesForce CodeGen models locally on your own NVIDIA GPU via Triton Inference Server with the FasterTransformer backend.

    14.7K
  2. #2 · SparkAudio/Spark-TTS

    Spark-TTS

    Spark-TTS is a text-to-speech system that uses a large language model (built on Qwen2.5) to generate highly natural, accurate speech, including zero-shot voice cloning.

    11K
  3. #3 · gpu-mode/lectures

    lectures

    This is the supplementary material repository for the GPU MODE lectures YouTube channel — a growing collection of notebooks, slides and code from each numbered lecture on GPU and CUDA programming.

    6.9K
  1. 4

    parameter-golf

    5.2Kopenai/parameter-golf · Python

    This is OpenAI's 'Model Craft Challenge: Parameter Golf' - a competition to train the best language model that fits in a 16MB artifact and trains in under 10 minutes on 8xH100 GPUs, scored by bits-per-byte compression on the FineWeb validation set.

  2. 5

    vdn-minimax-h3

    618OpenVDN/vdn-minimax-h3 · Python

    VDN-Minimax-H3 is a hybrid-attention video generation model built on MiniMax H3 that renders video faster than it plays, supporting text-to-video-audio, image-to-video-audio, first/last-frame-to-video and more from one checkpoint.

  3. 6

    SparkDiffusion

    518AlibabaResearch/SparkDiffusion · Python

    SparkDiffusion is an acceleration framework for Diffusion Transformer (DiT) video-generation models. It combines sparse low-rank attention (RoLa), few-step distillation (CrossDistill), and custom GPU operators to deliver 200x+ faster inference than a dense multi-step baseline while preserving generation quality.

  4. 7

    Hyperloom

    242AMD-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.

  5. 8

    Qwen3.8-27B-DFlash2-EXL3-5.0bpw

    232MiaAI-Lab/Qwen3.8-27B-DFlash2-EXL3-5.0bpw · Python

    A deployment kit for serving Qwen3.8-27B (quantized to EXL3 3.5bpw) through an OpenAI-compatible server, using speculative decoding to speed up generation. It bundles the launcher, server, and config; the model weights live on Hugging Face and inference runs on the team's exllamav3 fork.

  6. 9

    InstinctFlash

    200General-Instinct/InstinctFlash · Python

    InstinctFlash is a high-performance serving runtime for robotics foundation models - it loads checkpoints like GR00T, Cosmos3, pi0.5, LingBot-VA/VLA and DreamZero, applies acceleration (FP8, fused Triton kernels, caching) and serves them over Python or WebSocket, reporting up to 33.78x speedup on Jetson Thor.

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