Heiko Strathmann (@karlnapf)
github

karlnapf

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Top repositories

1

kameleon-mcmc

Code for Kernel Adaptive Metropolis-Hastings
Python
33
star
2

ds3_kernel_testing

Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
Fortran
27
star
3

kernel_hmc

Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
Python
24
star
4

kernel_goodness_of_fit

Code for the paper "A Kernel Test of Goodness of Fit" by Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton
Python
22
star
5

kernel_exp_family

Various estimators of the infinite dimensional exponential family model
Python
15
star
6

machine_learning_course

Material for the lab-session of the "Intro to ML" course at UCL.
Jupyter Notebook
4
star
7

independent-jobs

Python framework for independent computation with backends for batch clusters
Python
4
star
8

kameleon_rks

Random kitchen sink version of Kameleon MCMC
Python
3
star
9

nystrom-kexpfam

Efficient and principled score estimation with NystrΓΆm kernel exponential families
Jupyter Notebook
2
star
10

gatsby_neuroscience

Notes for the theoretical Neuroscience course of the Gatsby Unit, UCL
1
star
11

kamiltonian

Writeup & code for Kamiltonian Monte Carlo Project
Python
1
star