cuihengbin Goto Github PK

aqqu

More Accurate Question Answering on Freebase

bots

:zap: Curated list of resources on building bots

charagram

Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".

chatbot-retrieval

Dual LSTM Encoder for Dialog Response Generation

chatbot-rnn

A toy chatbot powered by deep learning and trained on data from Reddit

cntk

Computational Network Toolkit (CNTK)

cws_blstm_crf

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

dataset-sts

Semantic Text Similarity Dataset Hub

deep-semantic-similarity-model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

deepcake

wide and deep model based on tensorflow

dialogue-state-tracking-using-lstm

dialogue-system

A intelligent agent that can detect the topic of a conversation. (No longer in development)

dialogueengine

a prototype game dialogue engine in Python

dmn-tensorflow

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

dnn-dst

Dialog State Tracking with Deep Neural Networks

dstc5

Dialog State Tracking Challenge 5 (DSTC5)

dynamic-coattention-network

Tensorflow implementation of Dynamic Coattention Networks for Question Answering.

eventdetectiontf

Event detection code based on tensorflow

flask-webapp-session-example

An example of an app that asks a series of questions and remembers your answers. This is what we call a "session"

gcforest

Python implementation of gcForest

genadv_tutorial

TensorFlow tutorial on Generative Adversarial Models

generative-models

Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.

irgan

IRGAN SIGIR paper experimental code

keras_qa

Keras solution to the bAbI tasks using recurrent neural networks - merged as an example into Keras mainline

large_scale_video_classfification

lstm---stock-prediction

A long term short term memory recurrent neural network to predict stock data time series

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

matchzoo

MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.

mlalgorithms

Minimal and clean examples of machine learning algorithms