unofficial inplementation of paper Underexposed Photo Enhancement using Deep Illumination Estimation(2019 CVPR)

Achieve a tiny STL in C++11

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

C++ image processing and machine learning library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.

Retinex Algorithms: python code for MSRCR, MSRCP.

opencv

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

paper implement

Attention-guided CNN for image denoising(Neural Networks,2020)

Arm neon optimization practice

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Keras implementations of Generative Adversarial Networks.

PyTorch implementations of Generative Adversarial Networks.

Collection of popular and reproducible image denoising works.

Google AI Research

❤️中国科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

Matlab code for machine learning algorithms in book PRML

collection of super-resolution models & algorithms

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

TinySTL is a subset of STL(cut some containers and algorithms) and also a superset of STL(add some other containers and algorithms)

This project contains some neural network code

A complete workflow for HDR imaging

This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)