Additive interaction modelling using I-priors
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Updated
May 1, 2023 - R
Additive interaction modelling using I-priors
Support vector machines flexible framework
Homemade SVM dual problem solver
An infinite dimensional vector module.
Code to the paper: A First Approach to Quantum Logical Shape Classification Framework
MMD and HSIC for non-stationary random processes
Flexible SVM framework implementation
I have implemented a kalman filter from an existing paper that can predict and estimate the behavior of a noisy dynamic system. I have used kernel trick to compute some of the equations.
A light-weight repository to compute Amplitude Phase distance between two functions
An infinite-dimensional vector package.
QuantaPlus is a light C++ template library for quantum mechanics problems
Python code for kernel inference - optimal estimation of covariance functions
Originally written to solve systems of integrodifferential equations via collocation method in an arbitrary number of variables. The current implementation of the method is based on a finite-dimensional orthogonal system of functions.
Harvard Spring 2020 Math 110 Vector Space Methods for ODEs (Christian Brennecke)
My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)
Julia implementations of the Hilbert-Schmidt Independence Criterion (HSIC)
A refactored port and code rebuilt of JWave - Discrete Fourier Transform (DFT), Fast Wavelet Transform (FWT), Wavelet Packet Transform (WPT), some Shifting Wavelet Transform (SWT) by using orthogonal (orthonormal) wavelets like Haar, Daubechie, Coiflet, and other normalized bi-orthogonal wavelets.
Official code for Continuous-Time Functional Diffusion Processes (NeurIPS 2023).
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
A Mathematica package for performing calculations involving matrices/vectors in the Dirac notation which is usually used in quantum mechanics/quantum computing.
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