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Search results for kernel gaussian processes
gaussian-processes
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kernel
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26 search results found
Neural Tangents
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2,149
Fast and Easy Infinite Neural Networks in Python
Kernelfunctions.jl
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260
Julia package for kernel functions for machine learning
Keras Gp
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219
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Bcpd
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218
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
Stheno
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207
Gaussian process modelling in Python
Deep Kernel Transfer
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142
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Phd Thesis
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122
I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth
Mnist Challenge
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64
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Neural Kernel Network
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62
Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
Deep Kernel Gp
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46
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
Graph Gaussian Processes
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41
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
Liestationarykernels
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36
Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
Runlmc
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28
Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.
Gp_model_zoo
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20
Literature and light wrappers for gaussian process models.
Ttgp
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19
Nssm Gp
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18
Non-stationary spectral mixture kernels implemented in GPflow
Dnn2gp
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17
Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
Gpsig
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14
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
Nonstationary Spectral Kernels
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11
Implementation for Non-stationary Spectral Kernels (NIPS 2017)
Mklmm
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10
Multi Kernel Linear Mixed Models for Complex Phenotype Prediction
Riemannian Gaussian Processes
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7
Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
Delight
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6
Photometric redshift via Gaussian processes with physical kernels
Mlhiphy
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6
Machine Learning for Hidden Physics and Partial Differential Equations
Bayesian_smoothing_eyemovement
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6
Repository of my talk for Bayes@Lund 2017
Trajectoryinference
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6
This is an implementation of an GP-based trajectory prediction algorithm.
Gomplex
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5
GomPlex: Complex Gaussian Process for Machine Learning
Gpie
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5
Gaussian Process tiny explorer
Contextual Gaussian Process Bandit Optimization
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5
Simple implementation of CGP-UCB algorithm.
Kernel_learning
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5
A GPflow implementation of the Neural Kernel Network
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1-26 of 26 search results
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