offbit

keras

Deep Learning for humans

spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

neural-network-papers

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

BDA_py_demos

Bayesian Data Analysis demos for Python

dl4mt-tutorial

kaggle-ndsb

Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)

kaggle-galaxies

Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)

summerschool2015

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

oxnn

RecurrentNN.jl

Deep RNN, LSTM, GRU, GF-RNN, and GF-LSTMs in Julia

caffe-with-spearmint

Automatic Caffe parameter search via Spearmint Bayesian optimisation

kaggle-dr

My Entry for the Kaggle Diabetic Retinopathy Competition for 20/661 place

pyKinectTools

A collection of algorithms for use with RGB-D data.