Alternatives and similar repositories for aisys-building-blocks

Users that are interested in aisys-building-blocks are comparing it to the libraries listed below

• rwitten / HighPerfLLMs2024
  ☆551Updated last year
• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,143Updated 2 years ago
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆2,222Updated last year
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆807Updated this week
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)
  ☆748Updated this week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆592Updated 5 months ago
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,906Updated 3 months ago
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆564Updated 2 months ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆967Updated 11 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆453Updated 10 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆282Updated 4 months ago
• marin-community / marin
  Open-source framework for the research and development of foundation models.
  ☆707Updated this week
• srush / Transformer-Puzzles
  Puzzles for exploring transformers
  ☆382Updated 2 years ago
• huggingface / picotron
  Minimalistic 4D-parallelism distributed training framework for education purpose
  ☆1,947Updated 4 months ago
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆494Updated last year
• EleutherAI / cookbook
  Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
  ☆829Updated 5 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆154Updated 2 years ago
• meta-pytorch / attention-gym
  Helpful tools and examples for working with flex-attention
  ☆1,108Updated this week
• marin-community / levanter
  Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
  ☆690Updated this week
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆749Updated last month
• srush / Autodiff-Puzzles
  ☆463Updated last year
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆247Updated 8 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆178Updated last year
• thinking-machines-lab / batch_invariant_ops
  ☆949Updated 2 months ago
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆749Updated this week
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆711Updated this week
• srush / awesome-o1
  A bibliography and survey of the papers surrounding o1
  ☆1,214Updated last year
• huggingface / picotron_tutorial
  ☆224Updated last month
• stanford-cs336 / spring2024-lectures
  ☆405Updated last year
• hkproj / triton-flash-attention
  ☆233Updated last year