wgmueller1

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering, https://arxiv.org/abs/1606.09375

cython_tutorial

this is going to be a non-shit tutorial on how to use eigen C++ library with python to speed up nonparametric bayesian methods

BDA_py_demos

Bayesian Data Analysis demos for Python

BP-AR-HMM

Straight port of Emily Fox's Beta Process Auto Regressive Hidden Markov Model package

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

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

Deep-Spying

Spying using Smartwatch and Deep Learning

DeepConvLSTM

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs

install-emr

Installation script and instructions for setting up Tessera environment on Amazon Elastic MapReduce

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

mitie-trainer

Model Training tool for MITIE

MMPP

R-implementation of a Markov-Modulated Poisson Process for unsupervised event detection.

motif_experiments

experiments with RNNs for motif discovery in time series.

multiscale_graph

Browser based analytics for time series of graphs at multiple scales

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

nips2015_vrnn

notes-on-dirichlet-processes

:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

physical-web

The Physical Web: walk up and use anything

pyhsmm

qbox-blog-code

Code reference from my Qbox blog posts.

question_classification

Experiments on question classification using recurrent neural networks

rnd-nearables-wearables

social-sandbox

social sandbox

spark-hdfs-tika

spark hdfs tika

Stack-RNN

This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

streamingwordclouds

When I think of predictive analytics, I think of word clouds. When I think of realtime analytics, I think of streaming word clouds. This projects brings realtime analytics to the forefront of Data Science by using the streaming twitter API to generate real-time word clouds.

theano_lstm

:microscope: Nano size Theano LSTM module

TSBN_code_NIPS2015

The Matlab Code and the Supplementary Material for the NIPS 2015 paper "Deep Temporal Sigmoid Belief Networks for Sequence Modeling"