bayerj Goto Github PK

alchemie

ml experiment generator

arac

C++ library for neural networks.

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-machine-learning

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

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bayerj.github.io

Homepage.

breze-intro

chainer

A flexible framework of neural networks for deep learning

chopmunk

minimalist python logging

climin

Optimizers for machine learning

deeplearningtutorials

Deep Learning Tutorial branch focused on improving GPU performance

divvy

Fast and intuitive exploratory data analysis

drecks

A very smallish logging module for python.

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.

jaeger

Python random search for parameters.

karma

reinforcement learning

keras-estimator

orakle

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

pathplan

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

pelican-mockingbird

port of nevan scott's "mockingbird" to pelican

plorate

Plotting for machine learning with d3.

py_bh_tsne

A python wrapper for Barnes-Hut tsne

pybrain

seqdata

Repository containing tools to create hdf5 files for sequential data commonly used in recurrent network research.

tex

This repository provides convenient and readable macros for commonly used syntax when writing scientific articles about machine learning.

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.

theano-rnn

Recurrent neural networks with theano.

utils

Useful utilities.