PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
MIT License
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Att...
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The tr...
Keras implementation of RetinaNet object detection.
Official codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
Tensorflow experimentation sandbox. VGG, ResNet, Inception V3, Inception V4, Inception-Resnet-V2 ...
Implementation of Open-Set Likelihood Maximization for Few-Shot Learning
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Atten...
Dilated Residual Networks
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
An implementation of a deep learning recommendation model (DLRM)
Deep Feature Flow for Video Recognition
My personal codebase for segmentation tasks.