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new-pac

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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

Awesome-Shadow-Removal

Collection of recent shadow removal works, including papers, codes, datasets, and metrics.

RoomFormer

[CVPR 2023] RoomFormer: Two-level Queries for Single-stage Floorplan Reconstruction

BDRAR

Code for the ECCV 2018 paper "Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection"

SynShadow

Learning from Synthetic Shadows for Shadow Detection and Removal [Inoue and Yamasaki, IEEE TCSVT 2021].

SomeNotes

Some notes.

D-Group-Code-Plan