Alternatives and similar repositories for triton_docs_tutorials

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

• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆188Updated last month
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆378Updated 4 months ago
• hkproj / triton-flash-attention
  ☆179Updated 6 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆195Updated 2 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆160Updated 4 months ago
• huggingface / picotron_tutorial
  ☆198Updated 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
• 1y33 / 100Days
  GPU Kernels
  ☆188Updated 2 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆161Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆242Updated 6 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆330Updated last week
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆458Updated 2 months ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆136Updated 3 months ago
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆46Updated 2 weeks ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆144Updated 8 months ago
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆382Updated 2 weeks ago
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆468Updated this week
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆62Updated last week
• vdesai2014 / inference-optimization-blog-post
  ☆88Updated last year
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆561Updated 3 weeks ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆188Updated 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…
  ☆255Updated this week
• hkproj / multi-latent-attention
  ☆40Updated last month
• SzymonOzog / GPU_Programming
  ☆63Updated this week
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆281Updated last month
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆133Updated last year
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆411Updated 2 weeks ago
• hkproj / quantization-notes
  Notes on quantization in neural networks
  ☆89Updated last year
• lessw2020 / triton_kernels_for_fun_and_profit
  Custom kernels in Triton language for accelerating LLMs
  ☆23Updated last year
• pytorch-labs / monarch
  PyTorch Single Controller
  ☆318Updated this week