Repo for the book Discover three.js!

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

Readable regular expressions for Python 3.6 and up.

Python sample codes and textbook for robotics algorithms.

Plain python implementations of basic machine learning algorithms

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 ;)

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

Summaries and notes on Deep Learning research papers

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Distributed Deep learning with Keras & Spark