Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)
☆15Aug 1, 2021Updated 4 years ago
Alternatives and similar repositories for NNPhD-github
Users that are interested in NNPhD-github are comparing it to the libraries listed below
Sorting:
- ☆12May 30, 2024Updated last year
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Apr 27, 2020Updated 5 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆38Jun 21, 2023Updated 2 years ago
- finite difference based eigensolving for Maxwell's equations and photonic structures☆14Oct 28, 2021Updated 4 years ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Sep 26, 2022Updated 3 years ago
- Physics-informed neural networks☆16Nov 26, 2020Updated 5 years ago
- Gradients for dynamic programming☆17Nov 10, 2023Updated 2 years ago
- ☆12Aug 22, 2025Updated 6 months ago
- The AirfRANS dataset makes available numerical resolutions of the incompressible Reynolds-Averaged Navier–Stokes (RANS) equations over th…☆18Jan 9, 2025Updated last year
- ☆19Oct 3, 2021Updated 4 years ago
- Symmetric matrix as a list of the values in its upper or lower triangular part. Useful for representing pairwise measures or comparisons …☆19Sep 14, 2023Updated 2 years ago
- ☆15Mar 3, 2023Updated 2 years ago
- ☆18Sep 19, 2023Updated 2 years ago
- A repository for the discussion of PDE tooling for scientific machine learning (SciML) and physics-informed machine learning☆18Jan 8, 2026Updated last month
- Scripts for training neural networks resistant to photon shot noise with quantization-aware training, together with the code for simulati…☆19Jan 31, 2022Updated 4 years ago
- Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"☆61Aug 30, 2024Updated last year
- ☆21Aug 16, 2019Updated 6 years ago
- PotentialLearning.jl: Optimize your atomistic data and interatomic potential models in your molecular dynamics workflows.☆23Nov 21, 2024Updated last year
- Schrodinger Principal Component Analysis☆23Jun 5, 2020Updated 5 years ago
- ☆68Jan 7, 2023Updated 3 years ago
- ☆21Sep 28, 2020Updated 5 years ago
- A functional and efficient python implementation of the 3D version of Maxwell's equations☆30Feb 3, 2022Updated 4 years ago
- SiML - a Simulation ML library☆27Jan 24, 2025Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆59Jan 9, 2025Updated last year
- Contains methods and types for a variety of interatomic potentials.☆30May 5, 2025Updated 9 months ago
- ☆27Oct 31, 2023Updated 2 years ago
- ☆30Feb 17, 2024Updated 2 years ago
- Corrections to the text of the book "Computer Simulation of Liquids" by Michael P. Allen and Dominic J. Tildesley (2nd edition, Oxford Un…☆32Mar 21, 2023Updated 2 years ago
- A GNN-based PDE solver without pre-computed data☆39Jun 11, 2025Updated 8 months ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆31Jun 17, 2025Updated 8 months ago
- Graph Inference on MoLEcular Topology☆26Mar 25, 2023Updated 2 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- This module is a tool for calculating correlations such as Partial, Tetrachoric, Intraclass correlation coefficients, Bootstrap agreement…☆11Feb 16, 2026Updated 2 weeks ago
- The current implementation of `LinearAlgebra.eigen` does not support sensitivities. DifferentiableEigen.jl offers an `eigen` function tha…☆35Sep 15, 2025Updated 5 months ago
- ☆16Nov 2, 2025Updated 3 months ago
- Systems biology: Identifiability analysis and parameter identification via systems-biology-informed neural networks☆36Mar 20, 2025Updated 11 months ago
- hPINN: Physics-informed neural networks with hard constraints☆153Nov 21, 2021Updated 4 years ago