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hilbert-spaces

Here are 20 public repositories matching this topic...

JWave

graetz23 / JWave

A Discrete Fourier Transform (DFT), a Fast Wavelet Transform (FWT), and a Wavelet Packet Transform (WPT) algorithm in 1-D, 2-D, and 3-D using normalized orthogonal (orthonormal) Haar, Coiflet, Daubechie, Legendre and normalized biorthognal wavelets in Java.

Updated May 3, 2024
Java

BernDirac

bernwo / BernDirac

A Mathematica package for performing calculations involving matrices/vectors in the Dirac notation which is usually used in quantum mechanics/quantum computing.

Updated Jul 30, 2023
Mathematica

katiana22 / TL-DeepONet

Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.

regression partial-differential-equations transfer-learning hilbert-spaces multi-task-learning physics-informed-learning operator-learning deeponet

Updated Aug 4, 2023
Python

giulio98 / functional-diffusion-processes

Official code for Continuous-Time Functional Diffusion Processes (NeurIPS 2023).

functional hydra flax hilbert-spaces jax diffusion-processes generative-modeling score-based-generative-models stochastic-partial-differential-equations

Updated May 5, 2024
Python

graetz23 / sharpWave

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.

mathematics design-patterns software-engineering wavelet time-domain frequency-domain frequency-analysis wavelet-packets hilbert-spaces wavelet-toolbox orthogonal wavelet-analysis transforms hilbert-transform wavelet-transform mathematical-programming wavelet-compression orthogonal-transforms orthonomal

Updated May 3, 2024
C#

trappmartin / HilbertSchmidtIndependenceCriterion.jl

Julia implementations of the Hilbert-Schmidt Independence Criterion (HSIC)

julia independence hilbert-spaces

Updated May 14, 2019
Julia

jemil-butt / kernel_inference

Python code for kernel inference - optimal estimation of covariance functions

machine-learning optimization statistical-inference geostatistics hilbert-spaces reproducing-kernel

Updated Feb 23, 2022
Python

mghasemi / pyProximation

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.

approximation measures hilbert-spaces integro-differential

Updated May 17, 2023
Python

RylanSchaeffer / HarvardMATH110-vector-space-methods-for-ODEs

Harvard Spring 2020 Math 110 Vector Space Methods for ODEs (Christian Brennecke)

ordinary-differential-equations functional-analysis linear-operators hilbert-spaces

Updated Dec 28, 2020

haziqj / phd-thesis

My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)

kernel binary regression variable-selection classification rkhs mcmc gaussian-processes variational-inference em-algorithm multinomial hilbert-spaces probit fisher-information rkks frechet empirical-bayes krein-spaces gateaux

Updated Sep 9, 2021
TeX

Moh-Maher / QuantaPlus

QuantaPlus is a light C++ template library for quantum mechanics problems

quantum-mechanics hilbert-spaces harmonic-oscillator clebsch-gordan-coefficients eigensolver braket-notation

Updated Apr 21, 2024
C++

koehlale / A_First_Approach_to_Quantum_Logical_Shape_Classification_Framework

Code to the paper: A First Approach to Quantum Logical Shape Classification Framework

eigenvectors principal-component-analysis hilbert-spaces shape-classification quantum-logic

Updated Jun 18, 2024
Python

felix-laumann / MMD_HSIC_non-stationary

MMD and HSIC for non-stationary random processes

kernel-methods independence-tests hilbert-spaces two-sample

Updated Jul 14, 2020
Jupyter Notebook

mmarouen / SVM_Framework_py

Flexible SVM framework implementation

kernel svm numerical-methods softmax-regression svm-classifier penalized-regression hilbert-spaces

Updated Dec 18, 2017
Python

Mashghdoust / Kalman-Filter-Implimentation

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.

machine-learning kernel kalman-filter hilbert-spaces

Updated Jan 12, 2023
Jupyter Notebook

kiranvad / Amplitude-Phase-Distance

A light-weight repository to compute Amplitude Phase distance between two functions

machine-learning differential-geometry metric-learning functional-data-analysis clustering-algorithm hilbert-spaces

Updated May 28, 2024
Jupyter Notebook

goessl / vector

An infinite-dimensional vector package.

python lightweight math physics vector quantum-mechanics mathematics python3 pip hilbert infinite vectors vector-space minimalistic hilbert-spaces infinite-dimensions python38

Updated Oct 28, 2024
Jupyter Notebook

haziqj / iprior-interaction

Additive interaction modelling using I-priors

kernel regression rkhs hilbert-spaces fisher-information rkks empirical-bayes krein-spaces reproducing-kernel

Updated May 1, 2023
R

mmarouen / SVM_Framework

Support vector machines flexible framework

kernel svm classification regularization support-vector-machines softmax-regression hilbert-spaces primal-dual huber-loss-regression svm-framework

Updated Dec 18, 2017
R

tnoe1 / support-vector-madness

Homemade SVM dual problem solver

machine-learning svm numerical-optimization svm-classifier hilbert-spaces

Updated Feb 21, 2024
Jupyter Notebook

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