LambdaLabsML / distributed-training-guideLinks
Best practices & guides on how to write distributed pytorch training code
☆575Updated 3 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:
- ☆232Updated 2 months ago
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆829Updated 6 months ago
- ☆541Updated 6 months ago
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆198Updated 8 months ago
- ☆562Updated last year
- Annotated version of the Mamba paper☆495Updated last year
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆334Updated 3 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆457Updated 10 months ago
- Building blocks for foundation models.☆599Updated 2 years ago
- What would you do with 1000 H100s...☆1,151Updated 2 years ago
- For optimization algorithm research and development.☆558Updated 3 weeks ago
- Open-source framework for the research and development of foundation models.☆752Updated this week
- UNet diffusion model in pure CUDA☆661Updated last year
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆595Updated 5 months ago
- Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs☆843Updated 2 weeks ago
- An extension of the nanoGPT repository for training small MOE models.☆236Updated 11 months ago
- Slides, notes, and materials for the workshop☆339Updated last year
- Minimalistic 4D-parallelism distributed training framework for education purpose☆2,058Updated 5 months ago
- ☆178Updated 2 years ago
- Puzzles for exploring transformers☆386Updated 2 years ago
- Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"☆589Updated 4 months ago
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆475Updated this week
- Scalable and Performant Data Loading☆364Updated last week
- ☆492Updated last year
- ☆413Updated last year
- Load compute kernels from the Hub☆397Updated this week
- ☆236Updated last year
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆549Updated 8 months ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆279Updated 2 months ago
- ☆579Updated 4 months ago