deep-kernel-learning

There are 11 repositories under deep-kernel-learning 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

    28444058
  • gpax

    ziatdinovmax/gpax

    Gaussian Processes for Experimental Sciences

    Language:Python22894230
  • atomai

    pycroscopy/atomai

    Deep and Machine Learning for Microscopy

    Language:Python21461740

  • BayesWatch/deep-kernel-transfer

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

    Language:Python206121931

  • maka89/Deep-Kernel-GP

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

    Language:Python948227

  • machinelearningnuremberg/DyHPO

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

    Language:Python13101

  • IdanAchituve/GDKL

    Code that accompanies the paper Guided Deep Kernel Learning

    Language:Python10206

  • TheJacksonLab/ECG_ActiveLearning

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

    Language:Python7100

  • NeelKanwal/DeepKernelLearning

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

    Language:Python3011

  • 0xyuqi/physics-informed-kriging-pro

    Spatiotemporal Gaussian process modeling for environmental data: non-stationary PDE prior, deep kernels, multi-fidelity fusion, and A-optimal sampling.非稳态 PDE + 核深度学习 + 多保真 Co-Kriging + 主动采样的物理约束克里金方法，用于复杂时空环境建模与预测

    Language:Python2

  • JBris/deepgp_eval

    Evaluating Deep Gaussian processes

    Language:Jupyter Notebook110