deep-kernel-learning topic

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

BayesWatch

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

hoangcuong2011

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

maka89

Deep and Machine Learning for Microscopy

pycroscopy

Gaussian Processes for Experimental Sciences

ziatdinovmax