jakezhaojb

adaboost-py

A python project implementing the famous adaboost.

ARAE

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

Backpropagation-C

Available when training a Neural Network, or an Autoencoder.

CPBD-sharpness

The code is used to evaluate the shapeness of images.

Deep-Music-Autoencoder

The repo involves a Deep Learning method, Stacked Denoising Autoencoder. The repo exploits "paracel", which is a new parallel computing framework

FaceDetect-Skin-YCbCr-cpp

This package implements a fast and robust Face Detection machine by C++, using the tricks of extracting skin info and transforming to YCbCr space.

FacialExpression

This project focuses mainly on facial expression recognition, which has been widely used in varies of fields.

FrontalFaces

This repo aims at finding the frontal faces in real time videos.

LFW_API

For better using Labeled Faces in the Wild Benchmark, I provide the code of three versions, namely C++, python and Octave.

Online-RF-HeadPoseEstimate-cpp

This package aims at building up an Online Random Forest to train and test (can be simultaneous) a Head Pose Estimation model.

jakezhaojb/ARAE

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

jakezhaojb/Deep-Music-Autoencoder

The repo involves a Deep Learning method, Stacked Denoising Autoencoder. The repo exploits "paracel", which is a new parallel computing framework

jakezhaojb/DSGA-1008-Spring2017-A1

Assignment 1 for NYU 2017 sprint class Deep Learning.

jakezhaojb/dotfiles

.files .vim .bashrc .zshrc .tmux-tony

jakezhaojb/DSGA-1008-Spring2017-A2

DSGA-1008-Spring2017-A2

jakezhaojb/resume

个人中文简历 Latex 源码

jakezhaojb/deeplearning

Deep Learning Code / Examples

jakezhaojb/ds-ga-1008-a2

NYU course 2016 Spring 2016 Assignment 2

jakezhaojb/myCV

XeLaTeX中文简历

jakezhaojb/20190507NYU

2019/05/07 Lab session for Deep learning

jakezhaojb/adversarial_image_defenses

Countering Adversarial Image using Input Transformations.

jakezhaojb/clweadv

Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders

jakezhaojb/cnn-relation-extraction

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

jakezhaojb/data2text-plan-py

jakezhaojb/ds-ga-1008-a1

Assignment 1 sample code

jakezhaojb/ds1004

jakezhaojb/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

jakezhaojb/graphsage-simple

Simple reference implementation of GraphSAGE.

jakezhaojb/improved-gan

code for the paper "Improved Techniques for Training GANs"

jakezhaojb/ladder.torch

Torch implementation of Ladder Network (https://arxiv.org/abs/1507.02672)

jakezhaojb/lung-cancer-detector

The Data Science Bowl 2017 23rd place

jakezhaojb/Neural-Dialogue-Generation

jakezhaojb/OpenNMT

Main code repo

jakezhaojb/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

jakezhaojb/seq2seq-attn

Sequence-to-sequence model with LSTM encoder/decoders and attention

jakezhaojb/sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

jakezhaojb/spacewar

Spacewar arcade game using python and pygame/SDL

jakezhaojb/torch-pcl

Point Cloud Library (PCL) bindings for Torch

jakezhaojb/VideoPredictionICLR2016

jakezhaojb/visual-analogy-tensorflow

Tensorflow implementation of Deep Visual Analogy-Making