Alternatives and similar repositories for triton_docs_tutorials

Users that are interested in triton_docs_tutorials are comparing it to the libraries listed below

• hkproj / triton-flash-attention
  ☆174Updated 5 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆185Updated 3 weeks ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆189Updated last month
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆132Updated 2 months ago
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆46Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆238Updated 5 months ago
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 3 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆322Updated last week
• gpu-mode / profiling-cuda-in-torch
  ☆159Updated last year
• gpu-mode / ring-attention
  ring-attention experiments
  ☆144Updated 8 months ago
• 1y33 / 100Days
  GPU Kernels
  ☆182Updated last month
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆152Updated 3 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆368Updated 3 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆277Updated 3 weeks ago
• indri-voice / vit.triton
  VIT inference in triton because, why not?
  ☆29Updated last year
• kabir2505 / tiny-mixtral
  ☆41Updated last month
• hkproj / multi-latent-attention
  ☆39Updated last month
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆95Updated 5 months ago
• vdesai2014 / inference-optimization-blog-post
  ☆88Updated last year
• joey00072 / Multi-Head-Latent-Attention-MLA-
  working implimention of deepseek MLA
  ☆42Updated 5 months ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆136Updated this week
• huggingface / picotron_tutorial
  ☆193Updated 4 months ago
• gpu-mode / reference-kernels
  Reference Kernels for the Leaderboard
  ☆60Updated last week
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆281Updated 2 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆219Updated this week
• huggingface / kernels
  Load compute kernels from the Hub
  ☆191Updated this week
• open-lm-engine / cute-kernels
  A bunch of kernels that might make stuff slower 😉
  ☆51Updated this week
• VatsaDev / NanoPoor
  NanoGPT-speedrunning for the poor T4 enjoyers
  ☆66Updated 2 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆134Updated last year
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆253Updated this week