Alternatives and similar repositories for attorch

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

• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆365Updated last week
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆519Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆257Updated last week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆234Updated last week
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆294Updated 3 weeks ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated last year
• meta-pytorch / attention-gym
  Helpful tools and examples for working with flex-attention
  ☆970Updated last week
• google / aqt
  ☆330Updated last week
• gpu-mode / profiling-cuda-in-torch
  ☆171Updated last year
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆566Updated 3 weeks ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆265Updated last month
• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆538Updated 4 months ago
• pytorch / PiPPy
  Pipeline Parallelism for PyTorch
  ☆779Updated last year
• pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆401Updated 3 weeks ago
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆609Updated this week
• tspeterkim / flash-attention-minimal
  Flash Attention in ~100 lines of CUDA (forward pass only)
  ☆931Updated 8 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆221Updated 4 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆283Updated this week
• haoliuhl / ringattention
  Large Context Attention
  ☆736Updated 7 months ago
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆299Updated last week
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆489Updated last year
• gpu-mode / ring-attention
  ring-attention experiments
  ☆152Updated 11 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆141Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆154Updated 5 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆408Updated 6 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆223Updated this week
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆488Updated 3 months ago
• facebookresearch / spdl
  Scalable and Performant Data Loading
  ☆302Updated this week
• hidet-org / hidet
  An open-source efficient deep learning framework/compiler, written in python.
  ☆725Updated 2 weeks ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆211Updated this week