Pinned Repositories
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).
GPsysid
Gaussian Process bases system identification using Reduced Rank method
MCMC-MultiSPDE
Monte Carlo Markov Chain of Gaussian Processes
puat133.github.io
Reimmanian-Manifold-HMC
a Python implementaion of Reimannian Manifold Hamiltonian Monte Carlo variant of the MCMC
Sparse-Grid-Autodiff-Projection-Filters
This repository contains code implementations for methodology presented in Multidimensional Projection Filters via Automatic Differentiation and Sparse-Grid Integration.
puat133's Repositories
puat133/Sparse-Grid-Autodiff-Projection-Filters
This repository contains code implementations for methodology presented in Multidimensional Projection Filters via Automatic Differentiation and Sparse-Grid Integration.
puat133/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)
puat133/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"
puat133/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).
puat133/puat133.github.io
puat133/GPsysid
Gaussian Process bases system identification using Reduced Rank method
puat133/MCMC-MultiSPDE
Monte Carlo Markov Chain of Gaussian Processes
puat133/Reimmanian-Manifold-HMC
a Python implementaion of Reimannian Manifold Hamiltonian Monte Carlo variant of the MCMC
puat133/cupy
NumPy-like API accelerated with CUDA
puat133/deepxde
A library for scientific machine learning and physics-informed learning
puat133/dotfiles-public
Public part of my dotfiles
puat133/easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
puat133/N1
:love_letter: An extensible desktop mail app built on the modern web.
puat133/md-cv
markdown cv / résumé built with jekyll
puat133/NUTS
python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
puat133/probability
Probabilistic reasoning and statistical analysis in TensorFlow
puat133/puat133
Config files for my GitHub profile.
puat133/sparse-Gauss-Hermite-quadrature-rule