Alternatives and similar repositories for gpu-optimization-workshop

Users that are interested in gpu-optimization-workshop 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
  ☆193Updated 4 months ago
• cfregly / ai-performance-engineering
  ☆153Updated last week
• rwitten / HighPerfLLMs2024
  ☆542Updated last year
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆517Updated this week
• gpu-mode / profiling-cuda-in-torch
  ☆174Updated last year
• 1y33 / 100Days
  GPU Kernels
  ☆203Updated 6 months ago
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆519Updated 6 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆421Updated 7 months ago
• mlops-discord / dmls-bookclub
  ☆76Updated last year
• EleutherAI / cookbook
  Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
  ☆820Updated 2 months ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆917Updated 9 months ago
• HazyResearch / aisys-building-blocks
  Building blocks for foundation models.
  ☆567Updated last year
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆92Updated last month
• huggingface / gpu-fryer
  Where GPUs get cooked 👩‍🍳🔥
  ☆293Updated last month
• EurekaLabsAI / tensor
  The Tensor (or Array)
  ☆451Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆146Updated 2 years ago
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆113Updated 4 months ago
• hkproj / 100-days-of-gpu
  ☆384Updated 6 months ago
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,746Updated last month
• eugeneyan / llm-paper-notes
  Notes from the Latent Space paper club. Follow along or start your own!
  ☆240Updated last year
• huggingface / picotron_tutorial
  ☆224Updated last week
• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,118Updated last year
• meta-pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆436Updated this week
• hkproj / triton-flash-attention
  ☆209Updated 9 months ago
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆248Updated last year
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆233Updated 5 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆580Updated 2 months ago
• drkennetz / cuda_examples
  Some CUDA example code with READMEs.
  ☆176Updated 7 months ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆191Updated 2 years ago
• llm-efficiency-challenge / neurips_llm_efficiency_challenge
  NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
  ☆256Updated 2 years ago