Alternatives and similar repositories for HighPerfLLMs2024:

Users that are interested in HighPerfLLMs2024 are comparing it to the libraries listed below

• stanford-crfm / levanter
  Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
  ☆569Updated this week
• google / paxml
  Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…
  ☆491Updated last week
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆258Updated last week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆536Updated last week
• google-deepmind / nanodo
  ☆217Updated 9 months ago
• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,043Updated last year
• srush / Autodiff-Puzzles
  ☆430Updated 6 months ago
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆408Updated 2 months ago
• MatX-inc / seqax
  seqax = sequence modeling + JAX
  ☆155Updated last month
• srush / Transformer-Puzzles
  Puzzles for exploring transformers
  ☆344Updated 2 years ago
• HazyResearch / aisys-building-blocks
  Building blocks for foundation models.
  ☆487Updated last year
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆1,603Updated 5 months ago
• jax-ml / jax-triton
  jax-triton contains integrations between JAX and OpenAI Triton
  ☆393Updated this week
• gautierdag / bpeasy
  Fast bare-bones BPE for modern tokenizer training
  ☆154Updated last month
• EleutherAI / cookbook
  Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
  ☆788Updated last week
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆244Updated this week
• AI-Hypercomputer / JetStream
  JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…
  ☆322Updated this week
• kvfrans / jax-diffusion-transformer
  Implementation of Diffusion Transformer (DiT) in JAX
  ☆272Updated 10 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆202Updated last week
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆130Updated last year
• google-deepmind / recurrentgemma
  Open weights language model from Google DeepMind, based on Griffin.
  ☆636Updated 2 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆180Updated last week
• gpu-mode / profiling-cuda-in-torch
  ☆155Updated last year
• huggingface / picotron
  Minimalistic 4D-parallelism distributed training framework for education purpose
  ☆1,445Updated 2 months ago
• huggingface / picotron_tutorial
  ☆181Updated 2 months ago
• google / aqt
  ☆297Updated this week
• 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
• srush / GPTWorld
  A puzzle to learn about prompting
  ☆127Updated last year
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆138Updated last month