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/
☆186Updated this week
Alternatives and similar repositories for pytorch-accelerated
Users that are interested in pytorch-accelerated are comparing it to the libraries listed below
Sorting:
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated 6 months ago
- Lightning HPO & Training Studio App☆18Updated 2 years ago
- Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy☆128Updated 2 years ago
- An active learning library for Pytorch based on Lightning-Fabric.☆79Updated last year
- Drift Detection for your PyTorch Models☆316Updated 2 years ago
- A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to fac…☆233Updated 4 months ago
- Named tensors with first-class dimensions for PyTorch☆331Updated last year
- Common Python utilities and GitHub Actions in Lightning Ecosystem☆56Updated this week
- A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.☆63Updated 2 months ago
- Documentation for Ross Wightman's timm image model library☆311Updated last year
- A scalable & efficient active learning/data selection system for everyone.☆214Updated 10 months ago
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆418Updated last year
- An open-source AutoML Library based on PyTorch☆306Updated last month
- Cyclemoid implementation for PyTorch☆89Updated 3 years ago
- Pytorch Lightning Distributed Accelerators using Ray☆210Updated last year
- TorchFix - a linter for PyTorch-using code with autofix support☆141Updated 3 months ago
- A library to inspect and extract intermediate layers of PyTorch models.☆473Updated 3 years ago
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆438Updated 9 months ago
- deep learning with pytorch lightning☆1Updated 7 months ago
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆185Updated 2 years ago
- Functional deep learning☆108Updated 2 years ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆207Updated last year
- Code release for "Dropout Reduces Underfitting"☆313Updated 2 years ago
- Install PyTorch distributions with computation backend auto-detection☆253Updated last month
- Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"☆379Updated last year
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆248Updated 2 months ago
- ☆132Updated last year
- Automatic gradient descent☆207Updated last year
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆252Updated 2 years ago
- Memory-Efficient CUDA kernels for training ConvNets with PyTorch.☆41Updated 3 months ago