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--machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

ap-bsn

Official PyTorch implementation of "AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network" in CVPR 2022.

awesome-image-quality-assessment

A comprehensive collection of IQA papers

competition_tianchi

阿里移动推荐算法比赛

dcls-sr

Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.

deep-image-prior

Image restoration with neural networks but without learning.

du-gan

DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising

edcnn

EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising

estnet

iqa-nr-fr

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

isnas-dip-

ISNAS-DIP: Image Specific Neural Architecture Search for Deep Image Prior [CVPR 2022]

ldct-denoising

This project consists of image de-noising on Low-Dose CT images using Generative adversarial networks.

leecode_lizzy

models

modelzoo-pytorch

mprnet

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

neighbor2neighbor

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

noise2self

A framework for blind denoising with self-supervision.

nr_iqa_matlab

Some Blind Image Quality Assessment algorithms, including NIQE, BRISQUE, AG, BIQI, etc.

piqe

no reference image/video quaity assessment(BRISQUE/NIQE/PIQE/DIQA/deepBIQ/VSFA

practical_rl

A course in reinforcement learning in the wild

recommenders

Best Practices on Recommendation Systems

uidnet

End-to-End Unpaired Image Denoising with Conditional Adversarial Networks (AAAI-20)