A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains only the stable releases. For the most recent development of the GrainLearning project, please go to https://github.com/GrainLearning/grainLearning.
☆12Sep 20, 2023Updated 2 years ago
Alternatives and similar repositories for grainLearning
Users that are interested in grainLearning are comparing it to the libraries listed below
Sorting:
- Real-time Simulation of Industrial Particulate Flows☆23Aug 12, 2025Updated 6 months ago
- ☆56Feb 22, 2026Updated last week
- Repository for Machine Learning in Geotechnics☆14Feb 25, 2022Updated 4 years ago
- Bayesian neural nets trained with Hamiltonian Monte Carlo☆10Sep 28, 2018Updated 7 years ago
- This is the code of QQLMPA, which is proposed in <A quasi-opposition learning and Q-learning based marine predators algorithm for global …☆11Jun 8, 2022Updated 3 years ago
- ☆16Feb 15, 2026Updated 2 weeks ago
- Radiation property library for combustion gases and soot☆13Jun 25, 2024Updated last year
- Variational Multiscale Incompressible Navier--Stokes Toolkit☆12Dec 22, 2022Updated 3 years ago
- ☆11Oct 6, 2021Updated 4 years ago
- Open-source software for computing the basin stability of multi-stable dynamical systems☆13Sep 13, 2023Updated 2 years ago
- A CFDEM solver to simulate the interaction between two-phase fluids and granular materials☆60May 12, 2023Updated 2 years ago
- Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch☆10Jan 19, 2022Updated 4 years ago
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Sep 23, 2023Updated 2 years ago
- PFC3D 6.0 version FISH_script syntax highlight and autocomplete in Notepad++☆15Jun 13, 2022Updated 3 years ago
- Sparse Neural Network Tools☆12Jul 15, 2024Updated last year
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- Kernel Density Estimation: accelerated, multi-dimensional, and adaptive bandwidth☆14Aug 17, 2023Updated 2 years ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆17Jul 25, 2024Updated last year
- infinite Gaussian Mixture Model(Dirichlet Process Gaussian Mixture Model) by gibbs sampling. Multivaraite Gaussian with full covariance a…☆14Feb 23, 2019Updated 7 years ago
- Stochastic Gradient Hamiltonian Monte Carlo☆12Nov 16, 2019Updated 6 years ago
- A ParaView plugin to visualize Energistics RESQML™ data☆13Jan 28, 2026Updated last month
- ☆63Feb 29, 2024Updated 2 years ago
- PyTorch implementation of SNGP as found in https://arxiv.org/pdf/2006.10108.pdf☆17Sep 29, 2024Updated last year
- Separable shape tensors for aerodynamic design☆17Sep 5, 2025Updated 5 months ago
- In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.☆17Sep 21, 2017Updated 8 years ago
- Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlati…☆14Oct 8, 2020Updated 5 years ago
- sample files for Direct FE2 implementation in ABAQUS☆19Feb 16, 2022Updated 4 years ago
- Multi-fidelity Gaussian Process Regression☆13Mar 22, 2023Updated 2 years ago
- A collection of Black Box Variational Inference algorithms implemented in an object-oriented Python framework using Autograd.☆11Sep 7, 2018Updated 7 years ago
- STONEHENGE is an ensemble of open source Matlab and C++ codes for nonlinear dynamic analysis of vibration energy harvesting systems.☆21Apr 4, 2025Updated 10 months ago
- B-PINN - Jax - HMC tutorial☆18Mar 31, 2023Updated 2 years ago
- Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.☆18Dec 3, 2025Updated 2 months ago
- Multi-output Gaussian process regression via multi-task neural network☆14Dec 3, 2019Updated 6 years ago
- reproducing the examples from the FEniCS tutorial in scikit-fem☆18Jul 22, 2021Updated 4 years ago
- SLICOT: Subroutine Library in Systems and Control Theory☆16Sep 2, 2016Updated 9 years ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Sep 26, 2022Updated 3 years ago
- Some methods to sampling data points from a given distribution.☆17Jul 16, 2018Updated 7 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Apr 22, 2022Updated 3 years ago
- Various estimators of the infinite dimensional exponential family model☆16May 17, 2017Updated 8 years ago