WeilamChung

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/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