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wangtingc's Projects

contiguous-succotash icon contiguous-succotash

Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

cvae icon cvae

Convolutional Variational Autoencoder

cvae-1 icon cvae-1

Conditional variational autoencoder implementation in Torch

deep-learning-demo icon deep-learning-demo

:pushpin: The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepnlp icon deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

dfc-vae icon dfc-vae

Variational Autoencoder trained by feature perceputal loss

dilation icon dilation

Dilated Convolution for Semantic Image Segmentation

dmscmc icon dmscmc

This repository is for the paper "Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension"

dynamiccnn icon dynamiccnn

Dynamic Convolutional Neural Networks for Theano/Lasagne

edward icon edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

glove icon glove

GloVe model for distributed word representation

glove-gensim icon glove-gensim

Converting GloVe vectors into word2vec format for easy usage with Gensim

glove-python icon glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

gmvae icon gmvae

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

hmn4qa icon hmn4qa

This is the code&dataset for the paper [Hierarchical Memory Networks for Answer Selection on Unknown Words. COLING 2016]

iaf icon iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

jst icon jst

A C++ implementation of the Joint Sentiment-Topic (JST) Model.

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