ShengleiH

coursera_machine_learning

Assignments of Andrew Ng's course on coursera

GAN

several GAN implementations

LSTM-classifier

LSTM model plus fully connected layer to classify emotional EGG signals into three categories: positive, negative and neutral.

Adversarial-Ranking-for-Language-Generation

Implementation of the NIPS paper: https://papers.nips.cc/paper/6908-adversarial-ranking-for-language-generation.pdf

Basic-machine-Learning

conceptnet-numberbatch

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

neat-vision

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

Neural-Entity-Selection

nqg

neural question generation for reading comprehension

qna

Question-answering system

seqGAN

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

sshfiles

files update to ssh remote server

tensorflow-pointer-networks

Pointer Networks in Tensorflow

tensorflow_end2end_speech_recognition

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

tensorflow_tutorials

Codes for tensorflow tutorials

textCNN_public

tools

several useful tools

tree2seq

C++ code of "Tree-to-Sequence Attentional Neural Machine Translation (tree2seq ANMT)"

Zeroshot-QuestionGeneration-NAACL2018

code for anonymous submission to NAACL 2018