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Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
For thesis
Convolutional Variational Autoencoder
Conditional variational autoencoder implementation in Torch
Resources for deep learning: papers, articles, courses
: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.
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
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.
Deep Learning NLP Pipeline implemented on Tensorflow
code for deep learning models applied to nlp tasks
Variational Autoencoder trained by feature perceputal loss
Dilated CNNs for NER in TensorFlow
Implementation of Dilated PixelCNN
Dilated Convolution for Semantic Image Segmentation
This repository is for the paper "Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension"
Dynamic Convolutional Neural Networks for Theano/Lasagne
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
Model-Free Episodic Control
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
GloVe model for distributed word representation
Converting GloVe vectors into word2vec format for easy usage with Gensim
Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Library for implementing RNNs with Theano
This is the code&dataset for the paper [Hierarchical Memory Networks for Answer Selection on Unknown Words. COLING 2016]
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
A C++ implementation of the Joint Sentiment-Topic (JST) Model.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.