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kernel-methods

Here are 411 public repositories matching this topic...

awesome-graph-classification

benedekrozemberczki / awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

Updated Mar 18, 2023
Python

djsutherland / opt-mmd

Learning kernels to maximize the power of MMD tests

python machine-learning theano tensorflow generative-adversarial-network statistical-tests kernel-methods hypothesis-testing maximum-mean-discrepancy shogun

Updated Jan 11, 2018
Python

BayesWatch / deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

kernel deep-learning paper regression uncertainty bayesian-methods classification kernel-methods one-shot-learning uncertainty-quantification gaussian-processes kernels meta-learning shot-learning deep-kernel-learning few-shot-learning gpytorch

Updated Jan 19, 2022
Python