Alternatives and similar repositories for triton-flash-attention

Users that are interested in triton-flash-attention 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
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆378Updated 4 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆195Updated 2 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆242Updated 6 months ago
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆45Updated 3 months ago
• 1y33 / 100Days
  GPU Kernels
  ☆188Updated 2 months ago
• huggingface / picotron_tutorial
  ☆198Updated 5 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆161Updated last year
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆160Updated 4 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆330Updated this week
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆382Updated 2 weeks ago
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆458Updated 2 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆281Updated last month
• Deep-Learning-Profiling-Tools / triton-viz
  ☆225Updated this week
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆535Updated this week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆144Updated 8 months ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆255Updated this week
• hkproj / pytorch-llama
  LLaMA 2 implemented from scratch in PyTorch
  ☆337Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆136Updated 3 months ago
• hkproj / quantization-notes
  Notes on quantization in neural networks
  ☆89Updated last year
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆561Updated 3 weeks ago
• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆150Updated last year
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆318Updated 2 months ago
• hao-ai-lab / cse234-w25-PA
  ☆35Updated 4 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆203Updated this week
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆441Updated last month
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated 11 months ago
• andrewkchan / yalm
  Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
  ☆388Updated last month
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆281Updated this week
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆201Updated last year