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Search results for python kernel methods
kernel-methods
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python
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33 search results found
Opt Mmd
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204
Learning kernels to maximize the power of MMD tests
Falkon
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158
Large-scale, multi-GPU capable, kernel solver
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)
Polatory
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133
Fast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.
Mklpy
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107
A package for Multiple Kernel Learning in Python
Ml4chem
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64
ML4Chem: Machine Learning for Chemistry and Materials
Neural Kernel Network
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62
Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
Kpcamnet
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57
[IEEE TCYB 2021] Official Python implementation for Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
Kernel Gof
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56
NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
Interpretable Test
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44
NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
Kernelmethods
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42
Foundational library for Kernel methods in pattern analysis and machine learning
Subgraph2vec_gensim
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36
Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"
Prototype Quantum Kernel Training
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31
Toolkit for training quantum kernels in machine learning applications
Localreg
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26
Multivariate Local Polynomial Regression and Radial Basis Function Regression
Subgraph2vec_tf
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21
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
Cadgan
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18
ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
Operalib
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17
Learning with operator-valued kernels
Igms
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17
Implicit generative models and related stuff based on the MMD, in PyTorch
Fsic Test
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15
ICML 2017. Kernel-based adaptive linear-time independence test.
Scikit Ntk
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11
Neural Tangent Kernel (NTK) module for the scikit-learn library
Quffka
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11
Quadrature-based features for kernel approximation
Kllr
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10
Kernel Localized Linear Regression (KLLR)
Mklmm
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10
Multi Kernel Linear Mixed Models for Complex Phenotype Prediction
Kpca Denoising Python
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8
Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016
Manifoldem_python
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8
ManifoldEM Python suite
Deterministicparticleflowcontrol
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8
Repository for Deterministic Particle Flow Control framework
Hotstepper
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7
A Numpy based step function library for analysis and profit. More than just taking you up and down.
Regularization_for_machine_learning
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6
Regularization for Machine Learning-RegML GUI
Ksdagg Paper
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6
Code for reproducible experiments presented in KSD Aggregated Goodness-of-fit Test. https://arxiv.org/abs/2202.00824 NeurIPS 2022
Gmmn Pytorch
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5
Implementation of Generative Moment Matching Networks in pytorch
Kernel Matrix Benchmarks
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5
Benchmark of kernel matrix-vector products and inversions (regression, system resolution).
Recursive Nystrom
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5
Python implementation of RLS-Nystrom
Mmdfuse
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5
MMD-FUSE package implementing the MMD-FUSE test proposed in MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting by Biggs, Schrab, and Gretton: https://arxiv.org/abs/2306.08777
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1-33 of 33 search results
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