srush / LLM-Training-Puzzles

Related projects ⓘ

Alternatives and complementary repositories for LLM-Training-Puzzles

• srush / Transformer-Puzzles
  Puzzles for exploring transformers
  ☆325Updated last year
• srush / Autodiff-Puzzles
  ☆391Updated last month
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆1,135Updated this week
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆457Updated 8 months ago
• srush / awesome-o1
  A bibliography and survey of the papers surrounding o1
  ☆754Updated this week
• stanford-crfm / levanter
  Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
  ☆516Updated this week
• HazyResearch / aisys-building-blocks
  Building blocks for foundation models.
  ☆394Updated 10 months ago
• EleutherAI / cookbook
  Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
  ☆715Updated last month
• facebookresearch / optimizers
  For optimization algorithm research and development.
  ☆449Updated this week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆483Updated 3 weeks ago
• srush / GPTWorld
  A puzzle to learn about prompting
  ☆121Updated last year
• mlfoundations / open_lm
  A repository for research on medium sized language models.
  ☆479Updated this week
• pytorch / tensordict
  TensorDict is a pytorch dedicated tensor container.
  ☆840Updated this week
• rwitten / HighPerfLLMs2024
  ☆224Updated 4 months ago
• pytorch-labs / attention-gym
  Helpful tools and examples for working with flex-attention
  ☆469Updated 3 weeks ago
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,237Updated last month
• huggingface / nanotron
  Minimalistic large language model 3D-parallelism training
  ☆1,260Updated this week
• PiotrNawrot / nanoT5
  Fast & Simple repository for pre-training and fine-tuning T5-style models
  ☆970Updated 3 months ago
• pytorch / PiPPy
  Pipeline Parallelism for PyTorch
  ☆726Updated 2 months ago
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆333Updated 3 weeks ago
• llm-efficiency-challenge / neurips_llm_efficiency_challenge
  NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
  ☆252Updated last year
• HazyResearch / ThunderKittens
  Tile primitives for speedy kernels
  ☆1,658Updated this week
• explosion / curated-transformers
  🤖 A PyTorch library of curated Transformer models and their composable components
  ☆866Updated 7 months ago
• AlignmentResearch / tuned-lens
  Tools for understanding how transformer predictions are built layer-by-layer
  ☆430Updated 5 months ago
• gautierdag / bpeasy
  Fast bare-bones BPE for modern tokenizer training
  ☆142Updated 3 weeks ago
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆286Updated 2 weeks ago
• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆476Updated 3 weeks ago
• haoliuhl / ringattention
  Transformers with Arbitrarily Large Context
  ☆641Updated 3 months ago
• google / paxml
  Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…
  ☆457Updated last week