GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Pretrained Image & Video ConvNets and GANs for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, BigGANs StyleGANs, etc.
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
face recognition training project(pytorch)
A curated list of deep learning image classification papers and codes
Python implementation of TextRank for phrase extraction and summarization of text documents
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.