Pinned Repositories
BBox-Label-Tool
A simple tool for labeling object bounding boxes in images
BitScalableDeepHash
The Code of "Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification." IEEE TIP2015
caffe-lstm
LSTM implementation on Caffe
caffe-ocr
OCR with caffe deep learning framework
gtsrb.torch
Traffic sign recognition with Torch
neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
OpticalFlow-comparisons
Comparisons between available optical flow implementations.
RecurrentCNN_ObjRecognition
Recurrent Convolutional Neural Network to Detect Image Pattern
WeilamChung's Repositories
WeilamChung/BBox-Label-Tool
A simple tool for labeling object bounding boxes in images
WeilamChung/BitScalableDeepHash
The Code of "Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification." IEEE TIP2015
WeilamChung/caffe-lstm
LSTM implementation on Caffe
WeilamChung/caffe-ocr
OCR with caffe deep learning framework
WeilamChung/gtsrb.torch
Traffic sign recognition with Torch
WeilamChung/neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
WeilamChung/OpticalFlow-comparisons
Comparisons between available optical flow implementations.
WeilamChung/RecurrentCNN_ObjRecognition
Recurrent Convolutional Neural Network to Detect Image Pattern
WeilamChung/arctic-captions
WeilamChung/bayeslite
BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
WeilamChung/caffe
Caffe: a fast open framework for deep learning.
WeilamChung/caffe-speech-recognition
Speech Recognition with the Caffe deep learning framework, migrating to
WeilamChung/dcgan_code
Deep Convolutional Generative Adversarial Networks
WeilamChung/DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
WeilamChung/FaceTracker
Real time deformable face tracking in C++ with OpenCV 2.
WeilamChung/FaceVerification
An Experimental Implementation of Face Verification, 96.8% on LFW.
WeilamChung/ImageFab
A brief experiment in making a convolutional auto-encoder with TensorFlow.
WeilamChung/LSTM---Stock-prediction
A long term short term memory recurrent neural network to predict stock data time series
WeilamChung/lstm-parser
Transition-based dependency parser based on stack LSTMs
WeilamChung/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
WeilamChung/MDNet
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
WeilamChung/mxnet-gtc-tutorial
MXNet Tutorial for NVidia GTC 2016.
WeilamChung/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
WeilamChung/scikit-feature
oepn-source feature selection repository in python (DMML Lab@ASU)
WeilamChung/show_and_tell.tensorflow
WeilamChung/tensorflow-speech-recognition
Speech recognition using google's tensorflow deep learning framework, sequence-to-sequence neural networks
WeilamChung/tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版