choiyeren's Stars
oxford-cs-ml-2015/practical6
Practical 6: LSTM language models
jacobzweig/Keras-RCNN
Recurrent Convolutional Neural Networks in Keras
stupiding/rcnn
mtyylx/MLND
Udacity Machine Learning Nano Degree Courses
dennybritz/rnn-tutorial-rnnlm
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Smorodov/Multitarget-tracker
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
ju59199nahpx/General-Descriptors-in-CV
OpenNI/OpenNI2
OpenNI2
jiqizhixin/ML-Tutorial-Experiment
Coding the Machine Learning Tutorial for Learning to Learn
IntelRealSense/librealsense
Intel® RealSense™ SDK
asappresearch/sru
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
hueihan/Action_Recognition
codes for ICCV07 and ICCV11 paper
wanglimin/TDD
Trajectory-pooled Deep-Convolutional Descriptors
zbwglory/MV-release
yjxiong/temporal-segment-networks
Code & Models for Temporal Segment Networks (TSN) in ECCV 2016
kenshohara/3D-ResNets
3D ResNets for Action Recognition
antoine77340/LOUPE
Tensorflow toolbox implementing several learnable pooling architecture
facebookarchive/C3D
C3D is a modified version of BVLC caffe to support 3D ConvNets.
feichtenhofer/twostreamfusion
Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.
garythung/torch-lrcn
An implementation of the LRCN in Torch
choiyeren/activityrecognition
Information about activity recognition
kjw0612/awesome-deep-vision
A curated list of deep learning resources for computer vision
longcw/yolo2-pytorch
YOLOv2 in PyTorch
Yukong/Deeplearning.ai-Solutions
Solutions of assignments and translation to Chinese
choiyeren/FastMaskRCNN
Mask RCNN in TensorFlow
felixgwu/img_classification_pk_pytorch
Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
L1aoXingyu/pytorch-beginner
pytorch tutorial for beginners
happynear/caffe-windows
Configure Caffe in one hour for Windows users.