Alternatives and similar repositories for cuda

Users that are interested in 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
  ☆226Updated 5 months ago
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆54Updated last month
• hkproj / triton-flash-attention
  ☆203Updated 9 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆417Updated 6 months ago
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆32Updated last week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆261Updated 3 weeks ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆376Updated last week
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 6 months ago
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆99Updated 3 weeks ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆230Updated this week
• RadeonFlow / RadeonFlow_Kernels
  Efficient implementation of DeepSeek Ops (Blockwise FP8 GEMM, MoE, and MLA) for AMD Instinct MI300X
  ☆69Updated 2 months ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆84Updated last week
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆193Updated 4 months ago
• SzymonOzog / FastSoftmax
  Step by step implementation of a fast softmax kernel in CUDA
  ☆51Updated 9 months ago
• bertmaher / simplegemm
  ☆118Updated 6 months ago
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆419Updated 3 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆152Updated 11 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆173Updated last year
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆190Updated 2 years ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆138Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆155Updated 6 months ago
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆97Updated last week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆242Updated this week
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆391Updated 3 months ago
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and mini-Reproducer for Triton Kernels
  ☆152Updated this week
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆592Updated this week
• Snektron / gpumode-amd-fp8-mm
  My submission for the GPUMODE/AMD fp8 mm challenge
  ☆29Updated 4 months ago
• 1y33 / 100Days
  GPU Kernels
  ☆198Updated 5 months ago
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆122Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆296Updated last month