Alternatives and similar repositories for ShallowSpeed

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

• Deep-Learning-Profiling-Tools / triton-viz
  ☆219Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆236Updated 5 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆86Updated 2 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆277Updated 3 weeks ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆144Updated 8 months ago
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆46Updated this week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆186Updated last month
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆322Updated this week
• gpu-mode / profiling-cuda-in-torch
  ☆159Updated last year
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆25Updated 2 weeks ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆128Updated 2 months ago
• MatX-inc / seqax
  seqax = sequence modeling + JAX
  ☆159Updated last week
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆79Updated last year
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆67Updated 2 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆281Updated 2 months ago
• vdesai2014 / inference-optimization-blog-post
  ☆88Updated last year
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆185Updated last year
• bertmaher / simplegemm
  ☆109Updated 3 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆184Updated 3 weeks ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆95Updated 5 months ago
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated 10 months ago
• open-lm-engine / cute-kernels
  A bunch of kernels that might make stuff slower 😉
  ☆51Updated this week
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆136Updated this week
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆415Updated 3 weeks ago
• gpu-mode / reference-kernels
  Reference Kernels for the Leaderboard
  ☆59Updated this week
• andylolu2 / simpleGEMM
  The simplest but fast implementation of matrix multiplication in CUDA.
  ☆35Updated 10 months ago
• pytorch-labs / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆166Updated this week
• albanD / subclass_zoo
  ☆168Updated last year
• stanford-cs149 / cs149gpt
  ☆72Updated last year
• lessw2020 / triton_kernels_for_fun_and_profit
  Custom kernels in Triton language for accelerating LLMs
  ☆22Updated last year