crystal-cheung Goto Github PK

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

dro

This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?

invariantriskminimization

PyTorch code to run synthetic experiments.

iqa-pytorch

PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...

marp-theme-academic

Academic Presentation Slides with Marp

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, ... 🧠

ncsnv2

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

quality_augmentation

pytorch implementation

some-useful-tools-made-by-myself

sparse-invariant-risk-minmization

This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.

sqlcheatsheet

tipsforfindingfirstinternshipaftercovid

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'

universal_inverse_problem

Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli