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/awesome-spn
A structured list of resources about Sum-Product Networks (SPNs)
WeilamChung/bayarea-dl-summerschool
Torch notebooks and slides for the Bay Area Deep Learning Summer School
WeilamChung/bayareadlschool
Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016
WeilamChung/caffe-model
Python script to generate prototxt on Caffe, specially the inception_v3 \ inception_v4 \ inception_resnet \ fractalnet
WeilamChung/Cross-Modal-Re-ID-baseline
Pytorch Code for Cross-Modality Person Re-Identification (Visible Thermal/Infrared Re-ID)
WeilamChung/deep-person-reid
Pytorch implementation of deep Person Re-Identification models.
WeilamChung/distracted_driver
WeilamChung/efficientnet_tf_pytorch_caffe
WeilamChung/Image-Super-Resolution
Implementation of Super Resolution CNN in Keras.
WeilamChung/lstm-play
Playing with an LSTM neural network.
WeilamChung/models
Models built with TensorFlow
WeilamChung/multi-resnet
Multi-Residual Networks
WeilamChung/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
WeilamChung/neuralnetworks.thought-experiments
Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
WeilamChung/paper
WeilamChung/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
WeilamChung/recurrentshop
Framework for building complex recurrent neural networks with Keras
WeilamChung/ResNeXt
Reproduce ResNet-v3(Aggregated Residual Transformations for Deep Neural Network) with Caffe
WeilamChung/rnn
Recurrent Neural Network library for Torch7's nn
WeilamChung/SqueezeNet
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
WeilamChung/tensorflow
Computation using data flow graphs for scalable machine learning
WeilamChung/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
WeilamChung/tensorflow-tutorial
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
WeilamChung/tensorfow-rbm
Tensorflow implementation of Restricted Boltzman Machine
WeilamChung/tensorlayer
TensorLayer: Deep learning and Reinforcement learning library for TensorFlow.
WeilamChung/tensorlayer-chinese
TensorLayer 中文版
WeilamChung/tf-tutorial
Short tutorial for TensorFlow, designed to be presented in-person
WeilamChung/tflearn
Deep learning library featuring a higher-level API for TensorFlow.
WeilamChung/torch-in-action
Code for the Torch in Action book
WeilamChung/VQA-tensorflow
Tensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering