A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
MIT License
Published by Hhhhhhao over 2 years ago
The pre-trained models used in USB
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
pure-Python HistFactory implementation with tensors and autodiff
Easily train or fine-tune SOTA computer vision models with one open source training library. The ...
Tutel MoE: An Optimized Mixture-of-Experts Implementation
Tensors and Dynamic neural networks in Python with strong GPU acceleration
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
Effortless data labeling with AI support from Segment Anything and other awesome models.
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source ...
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
This is where I put things I find useful that speed up my work with Machine Learning. Ever looked...
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - ...
The PyTorch-based audio source separation toolkit for researchers
😀 Live2D VTuber, made by Unity and Cubism. This project is based on TCP socket, OpenCV and deep l...
A PyTorch Library for Multi-Task Learning