kernel-svm

Learning kernels to maximize the power of MMD tests

Scala Library/REPL for Machine Learning Research

[IEEE TCYB 2021] Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"

Foundational library for Kernel methods in pattern analysis and machine learning

Neural Tangent Kernel (NTK) module for the scikit-learn library

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

Learning with operator-valued kernels

Implementation of Generative Moment Matching Networks in pytorch

implementation of a Deep Kernelized Auto Encoder for learning vectorial representations of mutlivariate time series with missing data.