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adversarialnetspapers

The classical papers and codes about generative adversarial nets

alphapose

autowidgetsformakehuman

本Python源码是编写的基于开源3D软件MakeHuman的插件。 7_AotuHumanBodyRegistration.py主要功能是输入二维人体图片，通过改变三维人体模型的体态， 并把模型的映射到二维空间，通过轮廓迭代求优算法，得到三维模型与二维图片的配准。 7_AotuHumanPoseRegistration.py的功能是通过改变人体姿态来得到模型与二维图片的配准。

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-image-annotation

A curated list of resources for Image Annotation

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-lane-detection

A paper list of lane detection.

caffe

Caffe: a fast open framework for deep learning.

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

caffe_fast_rcnn_cudnnv5

This caffe supports ssd, fast(er)-rcnn with cudnn v5

caffe_test

用训练好的caffe网络模型进行数字，少量汉字，特殊字符（./等）的识别（总共有210类）

camodocal

CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

camvid

Copy of the camvid labeled dataset

ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

centermask

CenterMask : Real-Time Anchor-Free Instance Segmentation

cheatsheets

Penetration Testing/Security Cheatsheets

cityscapesscripts

README and scripts for the Cityscapes Dataset

cloudpointformat

本C++源码主要是用于txt与pcd之间点云的转换与显示及从oni视频中读取点云数据。

crash-course-computer-science-chinese

:computer: 计算机速成课 | Crash Course 字幕组 (全40集 2018-5-1 精校完成)

cvpr2019

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

cvpr2019-code

CVPR 2019 Paper with Code

deep-learning-papers-list

Papers-Roadmap

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deep-residual-networks

Deep Residual Learning for Image Recognition

deep-visualization-toolbox

DeepVis Toolbox

deepclustering

Deep Clustering

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepdive

Implementation of deep dive

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deeplearning_tensorflow

DeepLearning using TensorFlow