kernel-methods topic

NeurIPS 2018. Linear-time model comparison tests.

wittawatj

Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.

lightonai

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

jkfitzsimons

Implementation of LMS, RLS, KLMS and KRLS filters in Python

ninja3697

Implicit generative models and related stuff based on the MMD, in PyTorch

djsutherland

Quadrature-based features for kernel approximation

maremun

FRP: Fast Random Projections

dnbaker

Foundational library for Kernel methods in pattern analysis and machine learning

raamana

Kernel Methods Toolbox for Matlab/Octave

steven2358

Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016

lucasrodes