Alternatives and similar repositories for triton-resources

Users that are interested in triton-resources 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
• 1y33 / 100Days
  GPU Kernels
  ☆188Updated 2 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆195Updated 2 months ago
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆411Updated last week
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆458Updated 2 months ago
• hkproj / 100-days-of-gpu
  ☆349Updated 3 months ago
• hkproj / triton-flash-attention
  ☆179Updated 6 months ago
• rkinas / cuda-learning
  This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…
  ☆356Updated 4 months ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆829Updated 5 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆160Updated last year
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆45Updated 3 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆242Updated 6 months ago
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆259Updated 2 weeks ago
• clu0 / unet.cu
  UNet diffusion model in pure CUDA
  ☆610Updated last year
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆561Updated 3 weeks ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆134Updated last year
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆468Updated this week
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆160Updated 4 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆133Updated last year
• huggingface / picotron_tutorial
  ☆198Updated 5 months ago
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆444Updated 4 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
• EurekaLabsAI / tensor
  The Tensor (or Array)
  ☆437Updated 11 months ago
• smolorg / smolgrad
  small auto-grad engine inspired from Karpathy's micrograd and PyTorch
  ☆272Updated 7 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆327Updated this week
• CisMine / Parallel-Computing-Cuda-C
  CUDA Learning guide
  ☆401Updated last year
• Deep-Learning-Profiling-Tools / triton-viz
  ☆225Updated this week
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,610Updated 6 months ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆187Updated last year
• MarioSieg / magnetron
  (WIP) A small but powerful, homemade PyTorch from scratch.
  ☆555Updated this week