Alternatives and similar repositories for cute-kernels

Users that are interested in cute-kernels are comparing it to the libraries listed below

• cchan / tccl
  extensible collectives library in triton
  ☆87Updated 3 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆144Updated 8 months ago
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆281Updated this week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆136Updated 3 months ago
• triton-lang / kernels
  ☆83Updated 8 months ago
• stanford-futuredata / stk
  ☆106Updated 10 months ago
• pytorch-labs / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆187Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆225Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆242Updated 6 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆330Updated this week
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆80Updated 10 months ago
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆79Updated last week
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆281Updated last month
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆184Updated this week
• dame-cell / Triformer
  Transformers components but in Triton
  ☆34Updated 2 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆112Updated last year
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆79Updated last year
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated 11 months ago
• andylolu2 / simpleGEMM
  The simplest but fast implementation of matrix multiplication in CUDA.
  ☆37Updated 11 months ago
• Jokeren / triton-samples
  ☆28Updated 5 months ago
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆90Updated 2 weeks ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆224Updated 7 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆101Updated last month
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆195Updated 2 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆203Updated this week
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆157Updated last year
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆93Updated 10 months ago
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆138Updated last month
• neuralmagic / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆135Updated this week
• Dao-AILab / gemm-cublas
  ☆21Updated 2 months ago