laoyangui's repositories
generative-inpainting-pytorch
A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
AdaDM
AdaDM: Enabling Normalization for Image Super-Resolution
admm_release
Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''
awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
ChatGPT-Next-Web
One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。
Cross-Scale-Non-Local-Attention
PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
google-research
Google AI Research
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
Kunena-Forum
Kunena Forum - Forum / Bulletin Board / Discussions component for Joomla - This is the 5.x main development branch. Please do not open issues regarding earlier versions of Kunena
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Non-Local-Sparse-Attention
PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).
PlotNeuralNet
Latex code for making neural networks diagrams
RepLKNet-pytorch
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
sparsemax-pytorch
Implementation of Sparsemax activation in Pytorch
srh_cnn
Code repository for our paper titled "Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks" published in Nature Medicine, January 2020
SwitchyOmega
Manage and switch between multiple proxies quickly & easily.
VideoSuperResolution
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.