puat133's repositories
Sparse-Grid-Autodiff-Projection-Filters
This repository contains code implementations for methodology presented in Multidimensional Projection Filters via Automatic Differentiation and Sparse-Grid Integration.
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)
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"
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).
MCMC-MultiSPDE
Monte Carlo Markov Chain of Gaussian Processes
Reimmanian-Manifold-HMC
a Python implementaion of Reimannian Manifold Hamiltonian Monte Carlo variant of the MCMC
cupy
NumPy-like API accelerated with CUDA
deepxde
A library for scientific machine learning and physics-informed learning
dotfiles-public
Public part of my dotfiles
easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
N1
:love_letter: An extensible desktop mail app built on the modern web.
md-cv
markdown cv / résumé built with jekyll
probability
Probabilistic reasoning and statistical analysis in TensorFlow
puat133
Config files for my GitHub profile.