hackable boilerplate for PyTorch Lightning driven deep learning research in Lightning AI Studios
-
Updated
May 24, 2024 - Python
hackable boilerplate for PyTorch Lightning driven deep learning research in Lightning AI Studios
cardiAc ultrasound Segmentation & Color-dopplEr dealiasiNg Toolbox (ASCENT)
Online Handwritten Text Recognition (HTR) system implemented with PyTorch. Based on https://doi.org/10.1007/s10032-020-00350-4.
Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.
Really straightforward machine learning using pytorch lightning
Config-based framework for organized and reproducible deep learning. MONAI Bundle + PyTorch Lightning.
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
Accelerated pose estimation and tracking using semi-supervised convolutional networks.
🌸 Deep Learning models implemented in PyTorch Lightning
cube-dl: "The last stop" for training your deep learning models. Manage tons of configurations and experiments with minimal changes to existing code.
A simple tool to perform Federated Learning on various models and datasets.
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
so-vits-svc fork with realtime support, improved interface and more features.
The project where I would like to present things that I'm finding useful when working with algorithms, AI, programming languages, or books.
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild
Create powerful Hydra applications without the yaml files and boilerplate code.
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
A collection of datasets for RUL estimation as Lightning Data Modules.
Add a description, image, and links to the pytorch-lightning topic page so that developers can more easily learn about it.
To associate your repository with the pytorch-lightning topic, visit your repo's landing page and select "manage topics."