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3dcnn

3D convolutional neural network for video classification

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-crowd-counting

Awesome Crowd Counting

awesome-deep-learning

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

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-video-stabilization

A curated list of video stabilization methods

books

book list

bootswatch

Themes for Bootstrap

caffe-tensorflow

Caffe models in TensorFlow

cafn

char-rnn-tensorflow

Multi-language Char RNN for TensorFlow >= 1.2.

crowd-counting

Image Crowd Counting Using Convolutional Neural Network and Markov Random Field

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

crowd_density_segmentation

The code for preparing the training data for crowd counting / segmentation algorithm.

crowdcount-cascaded-mtl

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)

deep-crowd-counting_crowdnet

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

deep-learning-guide

An evolving guide to learning Deep Learning effectively.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deepst

Deep Learning for Spatio-Temporal Data

deligan

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

fast-rcnn

Fast R-CNN

for_test

headcounter

This is a head counting software. Its aim is to be able to count the number of people present in a crowd, especially in protests, and provide an estimate as accurate as possible.

interview_python

关于Python的面试题

lbcnn.torch

Torch implementation of CVPR'17 - Local Binary Convolutional Neural Networks http://xujuefei.com/lbcnn.html

learning_by_association