karlnapf

Coffee climbing jazz math

London

Pinned Repositories

ds3_kernel_testing
Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
Language:Fortran26 3 120
independent-jobs
Python framework for independent computation with backends for batch clusters
Language:Python4 2 25
kameleon-mcmc
Code for Kernel Adaptive Metropolis-Hastings
Language:Python33 9 06
kameleon_rks
Random kitchen sink version of Kameleon MCMC
Language:Python3 6 02
kernel_exp_family
Various estimators of the infinite dimensional exponential family model
Language:Python15 5 09
kernel_goodness_of_fit
Code for the paper "A Kernel Test of Goodness of Fit" by Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton
Language:Python24 2 07
kernel_hmc
Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
Language:Python25 3 09
machine_learning_course
Material for the lab-session of the "Intro to ML" course at UCL.
Language:Jupyter Notebook4 3 08
nystrom-kexpfam
Efficient and principled score estimation with Nyström kernel exponential families
Language:Jupyter Notebook2 4 12
shogun
The Shogun Machine Learning Toolbox (Source Code)
Language:C++3 2 01

karlnapf's Repositories

karlnapf/kameleon-mcmc
Code for Kernel Adaptive Metropolis-Hastings
Language:Python33 9 06
karlnapf/ds3_kernel_testing
Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
Language:Fortran26 3 120
karlnapf/kernel_hmc
Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
Language:Python25 3 09
karlnapf/kernel_goodness_of_fit
Code for the paper "A Kernel Test of Goodness of Fit" by Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton
Language:Python24 2 07
karlnapf/kernel_exp_family
Various estimators of the infinite dimensional exponential family model
Language:Python15 5 09
karlnapf/independent-jobs
Python framework for independent computation with backends for batch clusters
Language:Python4 2 25
karlnapf/machine_learning_course
Material for the lab-session of the "Intro to ML" course at UCL.
Language:Jupyter Notebook4 3 08
karlnapf/kameleon_rks
Random kitchen sink version of Kameleon MCMC
Language:Python3 6 02
karlnapf/shogun
The Shogun Machine Learning Toolbox (Source Code)
Language:C++3 2 01
karlnapf/nystrom-kexpfam
Efficient and principled score estimation with Nyström kernel exponential families
Language:Jupyter Notebook2 4 12
karlnapf/Deep-Learning-TensorFlow
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
Language:Python1 2 0
karlnapf/gatsby_neuroscience
Notes for the theoretical Neuroscience course of the Gatsby Unit, UCL
11
karlnapf/kamiltonian
Writeup & code for Kamiltonian Monte Carlo Project
Language:Python1 7 01
karlnapf/shogun-data
The Shogun Machine Learning Toolbox (Data Sets)
Language:Objective-C1 2 0
karlnapf/arno
Arno
Language:C2 0
karlnapf/gatsby-starter-default
Language:CSS
karlnapf/GPflow
Language:Jupyter Notebook2 0
karlnapf/graphlab
A framework for large-scale machine learning and graph computation.
Language:C++3 01
karlnapf/gsod
NumFOCUS participation information for Google Season Of Docs
karlnapf/linger
Linear algebra based on WG21
Language:C++1 0
karlnapf/ozone-roulette
Implementation of Russian Roulette for a GMRF on ozone data
Language:Python3 01
karlnapf/pymc
PyMC version 3 (PyMC 2 is in branch 2.3)
Language:Python
karlnapf/pystan
PyStan: Python interface to Stan
karlnapf/shogun-tutorial
Shogun Tutorial
2 01
karlnapf/shogun-web2
Language:HTML2 0
karlnapf/shogun-wiki
Public wiki of the Shogun Machine Learning Toolbox
2 01
karlnapf/Theano
Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python
Language:Python2 0
karlnapf/two-player-ai
Minimal Java framework to implement and experiment with various two-player-game tree search algorithms
Language:Java1 0