Hamiltonian Neural Networks for solving Differential Equations
☆26Mar 24, 2022Updated 4 years ago
Alternatives and similar repositories for hamiltonianNNetODEs
Users that are interested in hamiltonianNNetODEs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems☆14Nov 11, 2021Updated 4 years ago
- ☆33Dec 28, 2025Updated 7 months ago
- Hamiltonian neural network implementation for Henon Heiles dynamical system learning mix of order and chaos☆11Dec 2, 2023Updated 2 years ago
- ☆16Dec 15, 2020Updated 5 years ago
- One-Shot Transfer Learning of PINNs☆11Apr 26, 2026Updated 3 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- pyHamSys is a Python package for scientific computations involving Hamiltonian systems☆15May 26, 2026Updated 2 months ago
- Code for our paper "Hamiltonian Neural Networks"☆543Apr 13, 2021Updated 5 years ago
- Course materials for Computational Statistics, PhD course at EMAp.☆36May 19, 2026Updated 2 months ago
- Neural architecture search(NAS)☆10Jan 21, 2019Updated 7 years ago
- Learning unknown ODE models with Gaussian processes☆28Jul 30, 2018Updated 8 years ago
- Lagrangian Neural Networks☆568Sep 24, 2025Updated 10 months ago
- Tutorials for how to use git and github for astronomers☆10Jun 16, 2021Updated 5 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Sep 30, 2024Updated last year
- Official FluxGNN code for ICML2024☆30Feb 27, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆13Aug 5, 2022Updated 4 years ago
- ☆116May 17, 2021Updated 5 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆17Jun 18, 2026Updated last month
- Official repository for "ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks", https://arxiv.org/abs/2502.0080…☆16Oct 17, 2025Updated 9 months ago
- ☆12Jun 19, 2025Updated last year
- ☆19Nov 24, 2025Updated 8 months ago
- PF-PINNs: Physics-informed neural networks for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations☆18Dec 15, 2024Updated last year
- STScI-STIPS☆17May 8, 2026Updated 3 months ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆40Jan 25, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code repo for ICLR 24 BlogPost titled "Building Diffusion Model's theory from ground up"☆23Dec 1, 2023Updated 2 years ago
- Neural network compatible DDEs☆13Apr 8, 2025Updated last year
- Post to Bluesky from Obsidian☆16Jun 22, 2026Updated last month
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆26Mar 30, 2026Updated 4 months ago
- Package to obtain actual and predicted WCS objects for NASA TESS Mission☆17Aug 9, 2026Updated last week
- A collection of Jupyter notebooks that count independent citations from different bibliographic databases☆20Nov 4, 2021Updated 4 years ago
- My final project, Snow Simulation, for Prof. Lingqi Yan's online open course games 101-Intro to Modern Computer Graphics☆12Mar 12, 2021Updated 5 years ago
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆39Apr 1, 2026Updated 4 months ago
- PyMGRIT is a package for the Multigrid-Reduction-in-Time (MGRIT) algorithm in Python.☆19Jul 27, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Code attached to the paper: Uncertainty Quantification of Surrogate Models using Conformal Prediction☆29Nov 13, 2025Updated 9 months ago
- ☆15May 12, 2017Updated 9 years ago
- R package that provides an implementation of the generic adaptive Monte Carlo Markov chain sampler proposed by Vihola (2011).☆10Jan 29, 2024Updated 2 years ago
- An AI friend made with React, .NET, and ChatGPT/OpenAI (DEMO in README!!)☆15Feb 27, 2023Updated 3 years ago
- Hides images into sound☆13Apr 26, 2021Updated 5 years ago
- A library of fast and accurate low fidelity dynamic models for applications in robotics☆14Jul 12, 2024Updated 2 years ago
- MPI Code Generation through Domain-Specific Language Models☆16Nov 19, 2024Updated last year