Alternatives and similar repositories for Transformer-Puzzles

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

• srush / Autodiff-Puzzles
  ☆440Updated 8 months ago
• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,061Updated last year
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆485Updated last year
• google-deepmind / nanodo
  ☆273Updated 11 months ago
• stanford-crfm / levanter
  Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
  ☆603Updated this week
• EleutherAI / cookbook
  Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
  ☆801Updated last month
• srush / GPTWorld
  A puzzle to learn about prompting
  ☆130Updated 2 years ago
• rwitten / HighPerfLLMs2024
  ☆511Updated last year
• srush / raspy
  An interactive exploration of Transformer programming.
  ☆265Updated last year
• tysam-code / hlb-gpt
  Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wi…
  ☆347Updated 11 months ago
• HazyResearch / aisys-building-blocks
  Building blocks for foundation models.
  ☆515Updated last year
• dshah3 / GPU-Puzzles
  Solve puzzles. Learn CUDA.
  ☆64Updated last year
• facebookresearch / optimizers
  For optimization algorithm research and development.
  ☆521Updated this week
• callummcdougall / ARENA_2.0
  Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.
  ☆217Updated last year
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆424Updated this week
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆386Updated last week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆561Updated 3 weeks ago
• HazyResearch / H3
  Language Modeling with the H3 State Space Model
  ☆519Updated last year
• gautierdag / bpeasy
  Fast bare-bones BPE for modern tokenizer training
  ☆159Updated 2 weeks ago
• ayaka14732 / tpu-starter
  Everything you want to know about Google Cloud TPU
  ☆532Updated 11 months ago
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆1,747Updated 7 months ago
• apple / ml-sigma-reparam
  ☆303Updated last year
• MatX-inc / seqax
  seqax = sequence modeling + JAX
  ☆163Updated 3 weeks ago
• gpu-mode / profiling-cuda-in-torch
  ☆160Updated last year
• modula-systems / modula
  🧱 Modula software package
  ☆202Updated 3 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆134Updated last year
• llm-efficiency-challenge / neurips_llm_efficiency_challenge
  NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
  ☆256Updated last year
• Quentin-Anthony / torch-profiling-tutorial
  ☆323Updated this week
• r-three / git-theta
  git extension for {collaborative, communal, continual} model development
  ☆214Updated 7 months ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆219Updated last month