PrincetonUniversity / multi_gpu_trainingLinks
☆345Updated 4 months ago
Alternatives and similar repositories for multi_gpu_training
Users that are interested in multi_gpu_training are comparing it to the libraries listed below
Sorting:
- Annotated version of the Mamba paper☆486Updated last year
- Helpful tools and examples for working with flex-attention☆876Updated last week
- Example of how to use Weights & Biases on Slurm☆115Updated 2 years ago
- Building blocks for foundation models.☆516Updated last year
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆350Updated last year
- ☆52Updated last year
- A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!☆82Updated last week
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆208Updated last year
- Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"☆378Updated 2 years ago
- For optimization algorithm research and development.☆521Updated this week
- Universal Tensor Operations in Einstein-Inspired Notation for Python.☆385Updated 3 months ago
- TensorDict is a pytorch dedicated tensor container.☆942Updated this week
- Implementation of Diffusion Transformer (DiT) in JAX☆279Updated last year
- Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch☆708Updated last week
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆529Updated 2 months ago
- ☆230Updated 5 months ago
- A Simplified PyTorch Implementation of Vision Transformer (ViT)☆193Updated last year
- Implementation of https://srush.github.io/annotated-s4☆499Updated 3 weeks ago
- Reading list for research topics in state-space models☆306Updated last month
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆388Updated last week
- Simple, minimal implementation of the Mamba SSM in one pytorch file. Using logcumsumexp (Heisen sequence).☆120Updated 9 months ago
- Python 3.8+ toolbox for submitting jobs to Slurm☆1,478Updated last month
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆438Updated 10 months ago
- ☆292Updated 7 months ago
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆304Updated 3 months ago
- A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to fac…☆235Updated 6 months ago
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆332Updated last week
- ☆573Updated 3 months ago
- Code for our NeurIPS 2022 paper☆369Updated 2 years ago
- ☆197Updated 7 months ago