kernel-learning

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 models from scratch with a better visualisation

Python package for single-cell analysis with multiple kernel learning.

Code for reproducing results in "Myelin Water Fraction Estimation Using Small-Tip Fast Recovery MRI".

My kernel learning and testing repository 😂

Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior

Very simple kernel created for education reasons

Composable, differentiable, and simple finite-width and infinite-width NTKs for Gaussian Processes, with cross-functionality with GPyTorch.

A repository about kernel learning and its applications.

Learning the kernel hyperparameters

Reconstruction-based manifold learning in Reproducing Kernel Hilbert Spaces (RKHS) via the Representer Theorem and kernel alignment for interpretable embeddings.