Justin Bayer

arac. C++ library for neural networks.

theano-rnn. Recurrent neural networks with theano.

Jaeger. Python random search for parameters.

pybrain. Python

chopmunk. minimalist python logging

Theano. Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python

theano-mog. Playing around with theano, moving a scipy gaussian mixture gradually towards a pure theano implementation.

drecks. A very smallish logging module for python.

awesome-machine-learning. A curated list of awesome Machine Learning frameworks, libraries and software.

seher. Seher is an experiment in writing reinforcement learning and optimal control software using Python 3.12, relying heavily on generics. This software is aimed at people that need to build robust and reliable autonomous systems, and want to know how doing so can be done with a modern approach in Python engineering.

edward. A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

hypermegacyber. Very basic hybrid monte carlo for python.

DeepLearningTutorials. Deep Learning Tutorial branch focused on improving GPU performance

plorate. Plotting for machine learning with d3.

utils. Useful utilities.

divvy. Fast and intuitive exploratory data analysis

orakle. library to expose prediction with machine learning algorithms over a network via 0mq

alchemie. ml experiment generator

climin. Optimizers for machine learning

pathplan. A tiny module for trying out pathfinding algorithms in python with scipy and matplotlib visualization.