LambdaLabsML / distributed-training-guide
Best practices & guides on how to write distributed pytorch training code
☆418Updated 2 months ago
Alternatives and similar repositories for distributed-training-guide
Users that are interested in distributed-training-guide are comparing it to the libraries listed below
Sorting:
- ☆186Updated 3 months ago
- What would you do with 1000 H100s...☆1,045Updated last year
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆791Updated 2 weeks ago
- For optimization algorithm research and development.☆513Updated this week
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆180Updated this week
- UNet diffusion model in pure CUDA☆602Updated 10 months ago
- An extension of the nanoGPT repository for training small MOE models.☆140Updated 2 months ago
- Annotated version of the Mamba paper☆483Updated last year
- ☆431Updated 6 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆536Updated this week
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆512Updated 6 months ago
- ☆455Updated 10 months ago
- Minimalistic 4D-parallelism distributed training framework for education purpose☆1,464Updated 2 months ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆244Updated this week
- Scalable and Performant Data Loading☆258Updated this week
- Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"☆445Updated last month
- Building blocks for foundation models.☆489Updated last year
- Puzzles for learning Triton☆1,623Updated 5 months ago
- Muon optimizer: +>30% sample efficiency with <3% wallclock overhead☆623Updated last month
- Helpful tools and examples for working with flex-attention☆766Updated last week
- PyTorch per step fault tolerance (actively under development)☆300Updated this week
- Stanford NLP Python library for understanding and improving PyTorch models via interventions☆742Updated 2 weeks ago
- LLM KV cache compression made easy☆476Updated last week
- Minimalistic large language model 3D-parallelism training☆1,850Updated this week
- ☆155Updated last year
- code for training & evaluating Contextual Document Embedding models☆184Updated this week
- A bibliography and survey of the papers surrounding o1☆1,192Updated 5 months ago
- System 2 Reasoning Link Collection☆832Updated last month
- Puzzles for exploring transformers☆346Updated 2 years ago
- ☆163Updated 4 months ago