A collection of various deep learning architectures, models, and tips

Documenting my python implementation of Andrew Ng's Machine Learning course

Ipython notebooks on various topics

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

File repository for the course [Advanced Deep Learning with Keras]. Packt Publishing.

A Python implementation of global optimization with gaussian processes.

Visualizing RNNs using the attention mechanism

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

From Zero to Learning to Rank in Apache Solr

code for Data Science From Scratch book

Attention mechanism Implementation for Keras.

Introduction to Deep Neural Networks with Keras and Tensorflow

Turing Test's Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

Recreation of core tensorflow functionality: linear and sigmoid layers, forward and back prop, stochastic gradient descent

Miscellaneous code for various purposes

An example of data parallelism and async updates of parameter in tensorflow.

A collection of machine learning examples and tutorials.

Computation using data flow graphs for scalable machine learning

a Deep Learning based Speller

neon model zoo

Neon Model Zoo

Efficient, reusable RNNs and LSTMs for torch

Code and Examples for Relevant Search

Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)