Sheldon04

Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

CABM-pytorch

CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input

DADIP-pytorch

Blind Image Deblurring Based on Dual Attention Network and 2D Blur Kernel Estimation

deep-image-prior

Image restoration with neural networks but without learning.

Low-Level-Vision-Paper-Record

记录近期的 1) 图像/视频的超分增强等low level vision任务; 2) 图像生成 等任务相关论文, 主要为18年以后的DL based方法.

openHEVC_feature_decoder

pytorch_misc

Code snippets created for the PyTorch discussion board

Sheldon04

Sheldon04.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Sheldon04/CABM-pytorch

CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input

Sheldon04/DADIP-pytorch

Blind Image Deblurring Based on Dual Attention Network and 2D Blur Kernel Estimation

Sheldon04/annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Sheldon04/deep-image-prior

Image restoration with neural networks but without learning.

Sheldon04/Low-Level-Vision-Paper-Record

记录近期的 1) 图像/视频的超分增强等low level vision任务; 2) 图像生成 等任务相关论文, 主要为18年以后的DL based方法.

Sheldon04/openHEVC_feature_decoder

Sheldon04/pytorch_misc

Code snippets created for the PyTorch discussion board

Sheldon04/Sheldon04

Sheldon04/Sheldon04.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes