deep-kernel-learning

Here are 10 public repositories matching this topic...

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

machine-learning natural-language-processing computer-vision deep-learning neural-network semi-supervised-learning convolutional-networks neural-machine-translation representation-learning gaussian-processes variational-inference kernel-learning variational-autoencoders deep-kernel-learning

Updated Jun 5, 2019

ziatdinovmax / gpax

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Gaussian Processes for Experimental Sciences

machine-learning bayesian-inference gaussian-processes bayesian-optimization active-learning bayesian-neural-networks deep-kernel-learning hypothesis-learning multi-fidelity-learning

Updated Oct 21, 2024
Python

pycroscopy / atomai

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Deep and Machine Learning for Microscopy

machine-learning deep-learning materials jupyter-notebook pytorch ensemble-learning electron-microscopy materials-science microscopy imaging semantic-segmentation fully-convolutional-networks multivariate-analysis variational-autoencoders deep-kernel-learning scanning-probe-microscopy google-colaboratory

Updated Jun 26, 2024
Python

BayesWatch / deep-kernel-transfer

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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

maka89 / Deep-Kernel-GP

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

machine-learning deep-neural-networks deep-learning neural-network neural-networks deeplearning gaussian-processes deep-kernel-learning gp-regression dkl

Updated Nov 23, 2017
Python

IdanAchituve / GDKL

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Code that accompanies the paper Guided Deep Kernel Learning

gaussian-processes deep-kernel-learning infinite-width neural-network-gaussian-process

Updated Jul 2, 2023
Python

machinelearningnuremberg / DyHPO

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[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations

deep-learning neural-networks hyperparameter-optimization convolutional-neural-networks gaussian-processes multi-armed-bandits hpo state-of-the-art deep-kernel-learning multi-fidelity neurips-2022 grey-box deep-kernel-gps

Updated Apr 25, 2023
Python

TheJacksonLab / ECG_ActiveLearning

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Dataset and code for "Coarse-Grained Density Functional Theory Predictions via Deep Kernel Learning"

pytorch nvidia gaussian-processes active-learning deep-kernel-learning gpytorch a100 dgx-a100 expected-model-output-changes electronic-coarse-graining

Updated Nov 1, 2022
Python

NeelKanwal / DeepKernelLearning

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This repository contains code for paper: "Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images."

python deeplearning computational-pathology deep-kernel-learning dcnn-architectures probablistic-machine-learning artifact-detection

Updated Apr 26, 2024
Python

JBris / deepgp_eval

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Evaluating Deep Gaussian processes

deep-learning bayesian bayesian-inference gaussian-processes pyro nuts deep-kernel-learning deep-gaussian-processes gpytorch sk2torch bayesian-gaussian-processes

Updated Mar 10, 2024
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deep-kernel-learning

Here are 10 public repositories matching this topic...

hoangcuong2011 / Good-Papers

ziatdinovmax / gpax

pycroscopy / atomai

BayesWatch / deep-kernel-transfer

maka89 / Deep-Kernel-GP

IdanAchituve / GDKL

machinelearningnuremberg / DyHPO

TheJacksonLab / ECG_ActiveLearning

NeelKanwal / DeepKernelLearning

JBris / deepgp_eval

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