Causal Modeling with Stationary Diffusions, AISTATS 2024
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Mar 3, 2025 - Python
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kernel-methods
Here are 105 public repositories matching this topic...
Python implementation of the Parametric Tensor Train Kernel (PTTK) method.
kernel cross tensor kernel-methods parametric kernels low-rank-approximation tensor-train paramter tensortrain kernel-matrices
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Feb 19, 2025 - Python
ExplainPolySVM is a python package to provide interpretation and explainability to Support Vector Machine models trained with polynomial kernels. The package can be used with any SVM model as long as the components of the model can be extracted.
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Jan 27, 2025 - Python
Supervised Learning (COMP0078) Coursework 1 at UCL: Exploration of linear regression, kernelized methods, and k-NN for predictive modeling and analysis.
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Jan 26, 2025 - Python
ML4Chem: Machine Learning for Chemistry and Materials
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Dec 9, 2024 - Python
A scikit-learn-compatible module for Isolation Kernel with aNNE implemention.
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Nov 23, 2024 - Python
ManifoldEM Python suite
machine-learning kernel-methods cryo-em free-energy embedding manifold-learning spectral-methods biomolecule quantitative-biology manifoldem
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Nov 22, 2024 - Python
Stochastic Process Library for Python
machine-learning sampling kernel-methods gaussian-processes gaussian-process-regression poisson-point-process cox-process
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Nov 4, 2024 - Python
Neural Tangent Kernel (NTK) module for the scikit-learn library
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Oct 7, 2024 - Python
A benchmarking library for quantum and classical machine learning, with specialized support for evaluating kernel methods.
benchmarking machine-learning quantum-computing kernel-methods quantum-machine-learning qiskit pennylane
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Sep 27, 2024 - Python
This project simulates an experiment using Adaptive Random Fourier Features Kernel Least Mean Squares (ARFF-KLMS) to approximate non-linear functions. The algorithm adapts kernel bandwidth online, enhancing tracking and convergence in non-stationary environments. The experiment calculates and plots MSE over iterations for performance evaluation.
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Sep 17, 2024 - Python
This project demonstrates a simulation of an experiment using Random Fourier Features (RFF) to approximate a non-linear function. The experiment is designed to be repeated multiple times, and the mean squared error (MSE) is calculated and plotted over iterations to evaluate the performance of the model.
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Sep 17, 2024 - Python
Nonlinear model reduction for operator learning
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Sep 12, 2024 - Python
Classic methods on digit recognition. As part of the MITx course on machine learning with Python - from linear models to deep learning
svm pca dimensionality-reduction kernel-methods softmax-regression multinomial-regression linear-regres svm-classifi
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Aug 2, 2024 - Python
Official repository for the paper "Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings" (NeurIPS 2023)
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Jul 24, 2024 - Python
Large-scale, multi-GPU capable, kernel solver
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Jul 16, 2024 - Python
[NeurReps 2024] Kernel vs. Kernel: Exploring How the Data Structure Affects Neural Collapse
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Jun 8, 2024 - Python
Code for reimplementing "Stein Variational Gradient Descent (SVGD)" method.
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Jun 6, 2024 - Python
dckernel package implementing dcMMD and dcHSIC from Robust Kernel Hypothesis Testing under Data Corruption, by Schrab and Kim
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May 31, 2024 - Python
KSDAgg package implementing the KSDAgg test proposed in KSD Aggregated Goodness-of-fit Test by Schrab, Guedj and Gretton: https://arxiv.org/abs/2202.00824 NeurIPS 2022
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May 31, 2024 - Python
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