Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in Keras

Awesome paper list with code about generative adversarial nets

Implementation of recent Deep Learning papers

A flexible and efficient С++ template library for dimension reduction

Shōgun

scikit-learn: machine learning in Python

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…

Caffe: a fast open framework for deep learning.

pycallgraph is a Python module that creates call graphs for Python programs.

Computing with Python functions.

Tutorial on scikit-learn and IPython for parallel machine learning

Optimizers for machine learning

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 Laroche…

Rapid Machine Learning Prototyping in Python

Pandas integration with sklearn