karlnapf Goto Github PK

arno

Arno

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

ds3_kernel_testing

Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"

gatsby-starter-default

gatsby_neuroscience

Notes for the theoretical Neuroscience course of the Gatsby Unit, UCL

gpflow

graphlab

A framework for large-scale machine learning and graph computation.

gsod

NumFOCUS participation information for Google Season Of Docs

independent-jobs

Python framework for independent computation with backends for batch clusters

kameleon-mcmc

Code for Kernel Adaptive Metropolis-Hastings

kameleon_rks

Random kitchen sink version of Kameleon MCMC

kamiltonian

Writeup & code for Kamiltonian Monte Carlo Project

kernel_exp_family

Various estimators of the infinite dimensional exponential family model

kernel_goodness_of_fit

Code for the paper "A Kernel Test of Goodness of Fit" by Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton

kernel_hmc

Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"

linger

Linear algebra based on WG21

machine_learning_course

Material for the lab-session of the "Intro to ML" course at UCL.

nystrom-kexpfam

Efficient and principled score estimation with Nyström kernel exponential families

ozone-roulette

Implementation of Russian Roulette for a GMRF on ozone data

pymc

PyMC version 3 (PyMC 2 is in branch 2.3)

pystan

PyStan: Python interface to Stan

shogun

The Shogun Machine Learning Toolbox (Source Code)

shogun-data

The Shogun Machine Learning Toolbox (Data Sets)

shogun-tutorial

Shogun Tutorial

shogun-web2

shogun-wiki

Public wiki of the Shogun Machine Learning Toolbox

theano

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

two-player-ai

Minimal Java framework to implement and experiment with various two-player-game tree search algorithms