ltyong Goto Github PK

ahotw

aim_fas

Implementation of the paper "Learning Meta Model for Zero- and Few-shot Face Anti-spoofing"

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

asnet

awec

awesome-crowd-counting

Awesome Crowd Counting

awesome-dehazing

A curated list of awesome dehazing papers

awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

awkec

bayesian-crowd-counting

Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision

benchmark_eps

A Benchmark for Edge-Preserving Image Smoothing.

binance_futures_python

bnt

Bayes Net Toolbox for Matlab

caffe

Caffe: a fast open framework for deep learning.

cdcn

Central Difference Convolutional Networks

ceha

Novel image compression–encryption hybrid algorithm based on key-controlled measurement matrix in compressive sensing

cloud189checkin-actions

基于Github Actions的天翼云盘每日签到

cocoapi

COCO API - Dataset @ http://cocodataset.org/

codes

contrastive-clustering

Code for the paper "Contrastive Clustering" (AAAI 2021)

crowdcount-cascaded-mtl

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

crowdcount-mcnn

Single Image Crowd Counting via MCNN (Unofficial Implementation)

cryptanalysis_ieae

Codes of cryptanalysis of image encryption algorithm based on autoblocking and electrocardiography (IEAE)

cryptanalysis_isea

Cryptanalysis of an image scrambling encryption algorithm (ISEA).

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deeplearning-500-questions

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18个章节，50余万字。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

derainzoo

DerainZoo for collecting deraining methods, datasets, and codes.

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)