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Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation

Python 14 9 Updated Nov 8, 2022

Finite element modeling of glaciers and ice sheets

Jupyter Notebook 89 22 Updated Oct 24, 2024

ISSM source code

C++ 18 16 Updated Jan 2, 2025

tmm_fast is a lightweight package to speed up optical planar multilayer thin-film device computation. Developed by Alexander Luce (@Nerrror) in cooperation with Heribert Wankerl (@HarryTheBird).

Python 59 25 Updated Mar 12, 2024

Instructed Glacier Model (IGM)

Python 50 19 Updated Dec 20, 2024

DSL and compiler framework for automated finite-differences and stencil computation

Python 574 230 Updated Jan 3, 2025

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

Julia 269 41 Updated Sep 28, 2024

A Julia framework for invertible neural networks

Julia 160 23 Updated Dec 16, 2024

Normalizing flows in PyTorch

Python 864 120 Updated Dec 27, 2024

(Conditional) Normalizing Flows in PyTorch. Offers a wide range of (conditional) invertible neural networks.

Python 8 1 Updated Nov 28, 2024

Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https://arxiv.org/abs/2206.02433

Jupyter Notebook 20 3 Updated Jun 7, 2022

A normalizing flow using Bernstein polynomials for conditional density estimation.

Jupyter Notebook 18 3 Updated Oct 18, 2024

Framework for Easily Invertible Architectures

Python 782 113 Updated Jul 3, 2024

Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".

Python 21 6 Updated Feb 11, 2021

Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)

Jupyter Notebook 88 16 Updated Feb 19, 2020

Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)

Python 96 23 Updated Sep 3, 2020

Automatic Differentiation Library for Computational and Mathematical Engineering

Julia 297 60 Updated Oct 18, 2023

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Python 4,124 1,305 Updated May 23, 2024

PyLlama enables to calculate the reflection and transmission spectra of an arbitrary multilayer stack whose layers are made of dispersive or non-dispersive, absorbing or non absorbing, isotropic or…

Python 17 4 Updated Aug 15, 2022
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