Showing 1-15 of 15 projects
PyTorch Lightning simplifies deep learning training and deployment at scale.
A fork of the so-vits-svc project with realtime support, improved interface, and more features for AI-powered voice conversion.
This is an implementation of the Dreambooth technique for fine-tuning Stable Diffusion models.
SUPIR is a Python library for developing practical algorithms for photo-realistic image restoration using AI.
A user-friendly template for ML experimentation using PyTorch Lightning and Hydra.
A powerful PyTorch-based library for time series forecasting with support for AI and machine learning.
PyTorch implementation of the PointNet2/PointNet++ architecture for processing point cloud data.
A PyTorch-based AI factory that enables easy configuration and running of complex AI recipes across various data domains.
A standard framework for modeling deep learning models for tabular data in PyTorch.
A library of self-supervised methods for visual representation learning powered by PyTorch Lightning.
A PyTorch Lightning template that makes it easy to adapt your existing PyTorch code to use the Lightning framework.
A web app to generate template code for machine learning projects with popular frameworks like PyTorch and TensorFlow.
Instant-NGP in PyTorch+CUDA with PyTorch Lightning for high-quality, high-speed 3D reconstruction and novel view synthesis.
Detoxify is a Python library with trained models to detect toxic comments, built using Pytorch Lightning and Transformers.
A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery.
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