Pinned Repositories
3343
CasualDro
Official implementation for CasualDro
Cold-Diffusion-Models
Official implementation of Cold-Diffusion for different transformations in pytorch.
consistency_models
Unofficial Implementation of Consistency Models in pytorch compared with Rectified flow and Poisson flow
CS3334
Self_learn_data_structure
cs3343
DBCNN
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
DBCNN-PyTorch
An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
distribution_augmentation
Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020.
DomainBed
DomainBed is a suite to test domain generalization algorithms
crystal-cheung's Repositories
crystal-cheung/3343
crystal-cheung/CasualDro
Official implementation for CasualDro
crystal-cheung/Cold-Diffusion-Models
Official implementation of Cold-Diffusion for different transformations in pytorch.
crystal-cheung/consistency_models
Unofficial Implementation of Consistency Models in pytorch compared with Rectified flow and Poisson flow
crystal-cheung/CS3334
Self_learn_data_structure
crystal-cheung/cs3343
crystal-cheung/DBCNN
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
crystal-cheung/DBCNN-PyTorch
An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
crystal-cheung/distribution_augmentation
Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020.
crystal-cheung/DomainBed
DomainBed is a suite to test domain generalization algorithms
crystal-cheung/IQA-PyTorch
PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...
crystal-cheung/my_learning_for_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, ... 🧠
crystal-cheung/ncsnv2
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
crystal-cheung/Dro
This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
crystal-cheung/InvariantRiskMinimization
PyTorch code to run synthetic experiments.
crystal-cheung/marp-theme-academic
Academic Presentation Slides with Marp
crystal-cheung/Quality_augmentation
pytorch implementation
crystal-cheung/Some-useful-tools-made-by-myself
crystal-cheung/Sparse-Invariant-Risk-Minmization
This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
crystal-cheung/sqlcheatsheet
crystal-cheung/tipsForFindingFirstINTERNSHIPAfterCovid
crystal-cheung/UNIQUE
The repository for 'Uncertainty-aware blind image quality assessment in the laboratory and wild' and 'Learning to blindly assess image quality in the laboratory and wild'
crystal-cheung/universal_inverse_problem
Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli