7tl7qns7ch

neuraloperators-TL-scaling

Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML

PhysicsInformedDiffusionModels

Implementation of Physics-Informed Diffusion Models

MetaTransformer

Meta-Transformer for Unified Multimodal Learning

pinnacle

🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection

DiffusionPDE

Official implementation of paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"

Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN

This is the code of my master thesis.

kan-diffusion

ShipGen

Generate Parametric Ship Hull with a Guided Tabular Diffusion Model

inn-surrogate

Solving inverse problems using conditional invertible neural networks.

CDDB

Official PyTorch implementation of [Direct Diffusion Bridge using Data Consistency for Inverse Problems](https://arxiv.org/abs/2305.19809)

GINNs-Geometry-informed-Neural-Networks

gwpy

Package for analysing and characterising gravitational wave data in python

jax-sph

JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework

2020_TopologyGAN

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

pymor

pyMOR - Model Order Reduction with Python

pykan

Kolmogorov Arnold Networks

emopt

A suite of tools for optimizing the shape and topology of electromagnetic structures.

neuralsph

Neural SPH

lagrangebench

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

jax-fem

Differentiable Finite Element Method with JAX

EIT-EBM

EIT-EBM

EIT_dataset_generation

eit-transformer

[ICLR 2023] Interplay between the Attention and Electrical Impedance Tomography

PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

jax-am

Additive manufacturing simulation with JAX.

diffefwi

Official repository for the "Learned regularizations for multi-parameter elastic full waveform inversion using diffusion models" paper.

Solver-in-the-Loop

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

ppnn

PDE Preserved Neural Network

nio

FWIGAN

This repo contains a PyTorch implementation with DeepWave for the manuscript FWIGAN: Full-waveform inversion via a physics-informed generative adversarial network