Alternatives and similar repositories for LLM-Training-Puzzles

Users that are interested in LLM-Training-Puzzles are comparing it to the libraries listed below

• srush / Transformer-Puzzles
  Puzzles for exploring transformers
  ☆373Updated 2 years ago
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆2,074Updated 11 months ago
• srush / Autodiff-Puzzles
  ☆456Updated last year
• HazyResearch / aisys-building-blocks
  Building blocks for foundation models.
  ☆567Updated 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
• rwitten / HighPerfLLMs2024
  ☆542Updated last year
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆517Updated this week
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆489Updated last year
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,746Updated last month
• huggingface / picotron
  Minimalistic 4D-parallelism distributed training framework for education purpose
  ☆1,863Updated 2 months ago
• JonasGeiping / cramming
  Cramming the training of a (BERT-type) language model into limited compute.
  ☆1,349Updated last year
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆580Updated 2 months ago
• marin-community / levanter
  Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
  ☆671Updated this week
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆658Updated last week
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆917Updated 9 months ago
• evanmiller / LLM-Reading-List
  LLM papers I'm reading, mostly on inference and model compression
  ☆743Updated last year
• meta-pytorch / attention-gym
  Helpful tools and examples for working with flex-attention
  ☆1,029Updated this week
• PiotrNawrot / nanoT5
  Fast & Simple repository for pre-training and fine-tuning T5-style models
  ☆1,011Updated last year
• srush / awesome-o1
  A bibliography and survey of the papers surrounding o1
  ☆1,209Updated 11 months ago
• ayaka14732 / tpu-starter
  Everything you want to know about Google Cloud TPU
  ☆549Updated last year
• huggingface / nanotron
  Minimalistic large language model 3D-parallelism training
  ☆2,267Updated last month
• mlfoundations / open_lm
  A repository for research on medium sized language models.
  ☆515Updated 4 months ago
• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆542Updated 5 months ago
• microsoft / mup
  maximal update parametrization (µP)
  ☆1,611Updated last year
• facebookresearch / optimizers
  For optimization algorithm research and development.
  ☆543Updated last week
• haoliuhl / ringattention
  Large Context Attention
  ☆746Updated 2 weeks ago
• HazyResearch / ThunderKittens
  Tile primitives for speedy kernels
  ☆2,838Updated last week
• stas00 / the-art-of-debugging
  The Art of Debugging
  ☆957Updated 2 months ago
• bkitano / llama-from-scratch
  Llama from scratch, or How to implement a paper without crying
  ☆579Updated last year
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆400Updated this week