offbit's Stars
robertsdionne/neural-network-papers
avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
mila-iqia/summerschool2015
Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
kuz/caffe-with-spearmint
Automatic Caffe parameter search via Spearmint Bayesian optimisation
ilyakava/kaggle-dr
My Entry for the Kaggle Diabetic Retinopathy Competition for 20/661 place
benanne/kaggle-ndsb
Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)
nyu-dl/dl4mt-tutorial
soumith/convnet-benchmarks
Easy benchmarking of all publicly accessible implementations of convnets
donnemartin/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.
karpathy/convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
spotify/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.
Andy-P/RecurrentNN.jl
Deep RNN, LSTM, GRU, GF-RNN, and GF-LSTMs in Julia
tkocisky/oxnn
JasperSnoek/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
keras-team/keras
Deep Learning for humans
benanne/kaggle-galaxies
Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)
colincsl/pyKinectTools
A collection of algorithms for use with RGB-D data.