Chris-hughes10 / pytorch-acceleratedLinks
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/
☆192Updated 5 months ago
Alternatives and similar repositories for pytorch-accelerated
Users that are interested in pytorch-accelerated are comparing it to the libraries listed below
Sorting:
- Common Python utilities and GitHub Actions in Lightning Ecosystem☆62Updated this week
- A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to fac…☆244Updated 2 months ago
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated last year
- An active learning library for Pytorch based on Lightning-Fabric.☆79Updated last year
- Lightning HPO & Training Studio App☆19Updated 2 years ago
- A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.☆67Updated this week
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆252Updated 3 years ago
- TorchFix - a linter for PyTorch-using code with autofix support☆151Updated 3 months ago
- Convert scikit-learn models to PyTorch modules☆168Updated last year
- Documentation for Ross Wightman's timm image model library☆316Updated last year
- Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research…☆334Updated this week
- Train fastai models faster (and other useful tools)☆72Updated 6 months ago
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆250Updated last month
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆438Updated last year
- Experimental CUDA kernel framework unifying typed dimensions, NVRTC JIT specialization, and ML‑guided tuning.☆43Updated last week
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆422Updated last year
- Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy☆129Updated 2 years ago
- Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.☆160Updated last year
- Functional deep learning☆108Updated 3 years ago
- MinT: Minimal Transformer Library and Tutorials☆259Updated 3 years ago
- ☆134Updated 2 years ago
- Plugin for deploying MLflow models to TorchServe☆110Updated 2 years ago
- Install PyTorch distributions with computation backend auto-detection☆256Updated 2 weeks ago
- Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.☆318Updated 4 months ago
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆125Updated last year
- A library to inspect and extract intermediate layers of PyTorch models.☆475Updated 3 years ago
- Drift Detection for your PyTorch Models☆323Updated 3 years ago
- Memory mapped numpy arrays of varying shapes☆305Updated last year
- Named tensors with first-class dimensions for PyTorch☆332Updated 2 years ago