Alternatives and similar repositories for aisys-building-blocks:

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

• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,043Updated last year
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆1,614Updated 5 months ago
• srush / Autodiff-Puzzles
  ☆431Updated 6 months ago
• srush / Transformer-Puzzles
  Puzzles for exploring transformers
  ☆344Updated 2 years ago
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,488Updated 4 months ago
• rwitten / HighPerfLLMs2024
  ☆446Updated 9 months ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆776Updated 3 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆536Updated last week
• pytorch-labs / attention-gym
  Helpful tools and examples for working with flex-attention
  ☆757Updated this week
• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆511Updated 6 months ago
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆483Updated last year
• srush / awesome-o1
  A bibliography and survey of the papers surrounding o1
  ☆1,191Updated 5 months ago
• huggingface / picotron
  Minimalistic 4D-parallelism distributed training framework for education purpose
  ☆1,445Updated 2 months ago
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆288Updated last week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆220Updated 3 months ago
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆258Updated 2 weeks ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆121Updated last month
• gpu-mode / profiling-cuda-in-torch
  ☆155Updated last year
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆471Updated this week
• pytorch / PiPPy
  Pipeline Parallelism for PyTorch
  ☆764Updated 8 months ago
• google-deepmind / nanodo
  ☆217Updated 9 months ago
• EleutherAI / cookbook
  Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
  ☆788Updated last week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆169Updated last month
• fla-org / flash-linear-attention
  🚀 Efficient implementations of state-of-the-art linear attention models in Torch and Triton
  ☆2,357Updated this week
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆408Updated 2 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆202Updated last week
• tspeterkim / flash-attention-minimal
  Flash Attention in ~100 lines of CUDA (forward pass only)
  ☆803Updated 4 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆131Updated last year
• stanford-crfm / levanter
  Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
  ☆569Updated this week
• tile-ai / tilelang
  Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
  ☆1,089Updated this week