codyshen0000

you-get

:arrow_double_down: Dumb downloader that scrapes the web

.tmux

🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

digital_video_introduction

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

caffe-tensorflow

Caffe models in TensorFlow

Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

TorchSnooper

Debug PyTorch code using PySnooper

tfpyth

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).

Invertible-Image-Rescaling

[ECCV 2020, IJCV 2022] Invertible Image Rescaling

PFNL

Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations

ENLCA

This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022

PixTransform

[ICCV 2019] Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation

DeeDSR

The official PyTorch implementation of DeeDSR

FC2N

This is the TensorFlow code for FC2N: Fully Channel-Concatenated Network for Single Image Super-Resolution.

Visualize-Loss-Landscape

Respect to the input tensor instead of paramters of NN

tar

Task Aware Downscaling for efficient storing and accurate reconstruction in image and video domain

randomQA