Alternatives and similar repositories for the-art-of-debugging

Users that are interested in the-art-of-debugging are comparing it to the libraries listed below

• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,090Updated last year
• EleutherAI / cookbook
  Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
  ☆813Updated last month
• evanmiller / LLM-Reading-List
  LLM papers I'm reading, mostly on inference and model compression
  ☆742Updated last year
• srush / Autodiff-Puzzles
  ☆450Updated 10 months ago
• HazyResearch / aisys-building-blocks
  Building blocks for foundation models.
  ☆539Updated last year
• srush / Transformer-Puzzles
  Puzzles for exploring transformers
  ☆367Updated 2 years ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆880Updated 7 months ago
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,672Updated 7 months ago
• rwitten / HighPerfLLMs2024
  ☆530Updated last year
• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆331Updated last year
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆562Updated last week
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆1,972Updated 9 months ago
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆470Updated 6 months ago
• Quentin-Anthony / torch-profiling-tutorial
  ☆478Updated 3 weeks ago
• clu0 / unet.cu
  UNet diffusion model in pure CUDA
  ☆649Updated last year
• EurekaLabsAI / tensor
  The Tensor (or Array)
  ☆442Updated last year
• google-deepmind / penzai
  A JAX research toolkit for building, editing, and visualizing neural networks.
  ☆1,812Updated 2 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆571Updated 3 weeks ago
• dshah3 / GPU-Puzzles
  Solve puzzles. Learn CUDA.
  ☆64Updated last year
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆279Updated 3 weeks ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆393Updated 5 months ago
• bkitano / llama-from-scratch
  Llama from scratch, or How to implement a paper without crying
  ☆578Updated last year
• minitorch / minitorch
  The full minitorch student suite.
  ☆2,158Updated last year
• tugot17 / pmpp
  Complete solutions to the Programming Massively Parallel Processors Edition 4
  ☆483Updated 2 months ago
• Lightning-AI / lightning-thunder
  PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily wri…
  ☆1,395Updated this week
• arpitingle / gpu-alpha
  High Quality Resources on GPU Programming/Architecture
  ☆589Updated last year
• MarioSieg / magnetron
  (WIP) A small but powerful, homemade PyTorch from scratch.
  ☆635Updated this week
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆488Updated last year
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆391Updated this week
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆138Updated last year