Pinned Repositories
ds3_kernel_testing
Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
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
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"
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
shogun
The Shogun Machine Learning Toolbox (Source Code)
karlnapf's Repositories
karlnapf/kameleon-mcmc
Code for Kernel Adaptive Metropolis-Hastings
karlnapf/ds3_kernel_testing
Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
karlnapf/kernel_goodness_of_fit
Code for the paper "A Kernel Test of Goodness of Fit" by Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton
karlnapf/kernel_hmc
Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
karlnapf/kernel_exp_family
Various estimators of the infinite dimensional exponential family model
karlnapf/independent-jobs
Python framework for independent computation with backends for batch clusters
karlnapf/machine_learning_course
Material for the lab-session of the "Intro to ML" course at UCL.
karlnapf/kameleon_rks
Random kitchen sink version of Kameleon MCMC
karlnapf/shogun
The Shogun Machine Learning Toolbox (Source Code)
karlnapf/nystrom-kexpfam
Efficient and principled score estimation with Nyström kernel exponential families
karlnapf/Deep-Learning-TensorFlow
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
karlnapf/gatsby_neuroscience
Notes for the theoretical Neuroscience course of the Gatsby Unit, UCL
karlnapf/kamiltonian
Writeup & code for Kamiltonian Monte Carlo Project
karlnapf/shogun-data
The Shogun Machine Learning Toolbox (Data Sets)
karlnapf/arno
Arno
karlnapf/gatsby-starter-default
karlnapf/GPflow
karlnapf/graphlab
A framework for large-scale machine learning and graph computation.
karlnapf/gsod
NumFOCUS participation information for Google Season Of Docs
karlnapf/linger
Linear algebra based on WG21
karlnapf/ozone-roulette
Implementation of Russian Roulette for a GMRF on ozone data
karlnapf/pymc
PyMC version 3 (PyMC 2 is in branch 2.3)
karlnapf/pystan
PyStan: Python interface to Stan
karlnapf/shogun-tutorial
Shogun Tutorial
karlnapf/shogun-web2
karlnapf/shogun-wiki
Public wiki of the Shogun Machine Learning Toolbox
karlnapf/Theano
Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python
karlnapf/two-player-ai
Minimal Java framework to implement and experiment with various two-player-game tree search algorithms