Alternatives and similar repositories for learn-cuda

Users that are interested in learn-cuda are comparing it to the libraries listed below

• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆251Updated 9 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆288Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆292Updated 5 months ago
• hkproj / triton-flash-attention
  ☆236Updated last year
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆429Updated last week
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆457Updated 11 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆533Updated 4 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆155Updated 2 years ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆165Updated last year
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆201Updated this week
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆135Updated last year
• bertmaher / simplegemm
  ☆130Updated 3 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆198Updated 8 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆315Updated 5 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆326Updated this week
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆798Updated this week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆178Updated 2 weeks ago
• NVIDIA / TileGym
  Helpful kernel tutorials and examples for tile-based GPU programming
  ☆630Updated last week
• aryagxr / cuda
  coding CUDA everyday!
  ☆73Updated last week
• gpu-mode / profiling-cuda-in-torch
  ☆177Updated 2 years ago
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆672Updated 2 weeks ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆152Updated last year
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆300Updated 6 months ago
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆744Updated this week
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆201Updated 2 years ago
• wafer-ai / gpu-perf-engineering-resources
  A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do
  ☆349Updated 3 weeks ago
• Dao-AILab / sonic-moe
  Accelerating MoE with IO and Tile-aware Optimizations
  ☆583Updated last week
• triton-lang / kernels
  ☆104Updated last year
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
  ☆194Updated last week
• cchan / tccl
  extensible collectives library in triton
  ☆95Updated 10 months ago