Alternatives and similar repositories for profiling-cuda-in-torch

Users that are interested in profiling-cuda-in-torch are comparing it to the libraries listed below

• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆137Updated last year
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆188Updated 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
  ☆189Updated last year
• gpu-mode / ring-attention
  ring-attention experiments
  ☆145Updated 9 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆227Updated this week
• huggingface / kernels
  Load compute kernels from the Hub
  ☆214Updated last week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆563Updated 2 weeks ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆246Updated 6 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆203Updated 2 months ago
• dshah3 / GPU-Puzzles
  Solve puzzles. Learn CUDA.
  ☆64Updated last year
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆258Updated last week
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated last year
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆289Updated 2 months ago
• huggingface / picotron_tutorial
  ☆203Updated 5 months ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆32Updated 2 weeks ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆338Updated this week
• hkproj / triton-flash-attention
  ☆182Updated 7 months ago
• cloneofsimo / min-fsdp
  ☆82Updated last year
• pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆366Updated last week
• mgmalek / efficient_cross_entropy
  ☆113Updated last year
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆207Updated last week
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 4 months ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆139Updated 3 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆133Updated last year
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆487Updated last year
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆382Updated 4 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆79Updated last year
• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆532Updated 2 months ago
• VikParuchuri / triton_tutorial
  Tutorials for Triton, a language for writing gpu kernels
  ☆31Updated last year