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correlated_noise_projection_filter

This repository contains codes related to paper "Efficient Projection Filter Algorithm for Stochastic Dynamical Systems with Correlated Noises and State-Dependent Measurement Covariance" which can be downloaded from this [Paper Link](https://doi.org/10.1016/j.sigpro.2024.109383)

cupy

NumPy-like API accelerated with CUDA

deepgalerkinspde

Deep Gaussian processes based on the stochastic partial differential equations (SPDE) form, implemented in Jax. This repository contains codes from the paper: "Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors"

deepxde

A library for scientific machine learning and physics-informed learning

diddyborg_sensor_fusion

This GitHub repo is an implementation of basics data gathering for Diddyborg robot with Raspberry Pi. It also contains the localization and sensor fusion code (Extended Kalman filter).

dotfiles-public

Public part of my dotfiles

easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

gpsysid

Gaussian Process bases system identification using Reduced Rank method

mcmc-multispde

Monte Carlo Markov Chain of Gaussian Processes

md-cv

markdown cv / résumé built with jekyll

n1

:love_letter: An extensible desktop mail app built on the modern web.

nuts

python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011

probability

Probabilistic reasoning and statistical analysis in TensorFlow

puat133

Config files for my GitHub profile.

puat133.github.io

reimmanian-manifold-hmc

a Python implementaion of Reimannian Manifold Hamiltonian Monte Carlo variant of the MCMC

sparse-gauss-hermite-quadrature-rule

sparse-grid-autodiff-projection-filters

This repository contains code implementations for methodology presented in Multidimensional Projection Filters via Automatic Differentiation and Sparse-Grid Integration.