Projects in Awesome Lists tagged with deep-kernel-learning
A curated list of projects in awesome lists tagged with deep-kernel-learning .
https://github.com/hoangcuong2011/Good-Papers
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
computer-vision convolutional-networks deep-kernel-learning deep-learning gaussian-processes kernel-learning machine-learning natural-language-processing neural-machine-translation neural-network representation-learning semi-supervised-learning variational-autoencoders variational-inference
Last synced: 19 Jul 2025
https://github.com/ziatdinovmax/gpax
Gaussian Processes for Experimental Sciences
active-learning bayesian-inference bayesian-neural-networks bayesian-optimization deep-kernel-learning gaussian-processes hypothesis-learning machine-learning multi-fidelity-learning
Last synced: 15 May 2025
https://github.com/pycroscopy/atomai
Deep and Machine Learning for Microscopy
deep-kernel-learning deep-learning electron-microscopy ensemble-learning fully-convolutional-networks google-colaboratory imaging jupyter-notebook machine-learning materials materials-science microscopy multivariate-analysis pytorch scanning-probe-microscopy semantic-segmentation variational-autoencoders
Last synced: 04 Apr 2025
https://github.com/BayesWatch/deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
bayesian-methods classification deep-kernel-learning deep-learning few-shot-learning gaussian-processes gpytorch kernel kernel-methods kernels meta-learning one-shot-learning paper regression shot-learning uncertainty uncertainty-quantification
Last synced: 01 May 2025
https://github.com/jbris/deepgp_eval
Evaluating Deep Gaussian processes
bayesian bayesian-gaussian-processes bayesian-inference deep-gaussian-processes deep-kernel-learning deep-learning gaussian-processes gpytorch nuts pyro sk2torch
Last synced: 02 Mar 2025
