CCV-Edward

pytorch-two-stream-cnn-ucf101

Using two stream architecture to implement action recognition on ucf101

action-recognition

these days I have downed l lot of papers about action recognition,all of them are form cvpr iccv nip and so on

Video-Captioning

An implementation of the paper <Sequence to Sequence -- Video to Text> in Tensorflow 1.0

Action-Recognition-1

Action Recognition

Activity-Recognition-with-CNN-and-RNN

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

aLSTMs

Codes for paper of "Attention-based LSTM with Semantic Consistency for Videos Captioning "

ARTNet

Appearance-and-Relation Networks

AttentionalPoolingAction

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

book

cisco

cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

DeepVideoAnalytics

A distributed visual search and visual data analytics platform.

dense_flow

Tools to extract dense optical flow from videos, based on OpenCV

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜

HAR-stacked-residual-bidir-LSTMs

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

hLSTMat

The paper of "Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning" accepted in International Joint Conference on Artificial Intelligence (IJCAI) 2017

IndRNN_Theano_Lasagne

This code is to implement the IndRNN.

LSTM-Human-Activity-Recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

mac

MachineLearning_Python

机器学习算法python实现

models

Models built with TensorFlow

resnet-18-tensorflow

ResNet-18 TensorFlow Implementation including conversion of torch .t7 weights into tensorflow ckpt

resume

An elegant \LaTeX\ résumé template

SCN_for_video_captioning

Using Semantic Compositional Networks for Video Captioning

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

temp

nothing

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

V2S-tensorflow

Soft attention mechanism for video caption generation

Video-Classification-Action-Recognition

some famous works and new content to be added