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deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepgp

Deep Gaussian Processes in matlab

deepgp-1

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deepnet

Implementation of some deep learning algorithms.

deepnl

Deep Learning for Natural Language Processing

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dl_tutorial

Tutorials for deep learning

dpfa_icml2015

The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"

dracula

A deep, LSTM-based part of speech tagger and sentiment analyser using character embeddings instead of words. Compatible with Theano and TensorFlow. Optimized for Twitter.

dsbn_aistats2015

The Matlab Code for the AISTATS 2015 paper "Learning Deep Sigmoid Belief Network with Data Augmentation"

dssm-wemb-theano

Implementing Deep Structured Semantic Model (DSSM) in Theano : Word Embedding Case Study

edward

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

elbow

Flexible Bayesian inference using TensorFlow

entity-linking-with-cnn

Based on the model of Yaming Sun et al. at IJCAI 2015

entity-resolution

Tutorial code and data for the entity resolution workshops.

exponential_family_embeddings

Bernoulli Embeddings for Text

generating-reviews-discovering-sentiment

Code for "Learning to Generate Reviews and Discovering Sentiment"

gparml

Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.

gpclust

Clustering time series using Gaussian processes and Variational Bayes.

gpy

Gaussian processes framework in python

gradient-based-mcmc

Simple python implementations of some gradient-based MCMC methods and demos on some toy problems

graphicalmodelforrecommendation

Graphical Model for Recommender Systems

gsn

Efficient implementation of Generative Stochastic Networks

hypergrad

Exploring differentiation with respect to hyperparameters

inverse-reinforcement-learning

Implementations of selected inverse reinforcement learning algorithms.

ipythontheanotutorials

latex-templates

A collection of LaTeX templates used for research, courses, and miscellanea.

lda-svi

an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference