Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
☆53Nov 14, 2021Updated 4 years ago
Alternatives and similar repositories for physics_constrained_nn
Users that are interested in physics_constrained_nn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for paper "Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems"☆29Apr 19, 2023Updated 3 years ago
- Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"☆51Aug 1, 2023Updated 3 years ago
- This repository contains the code for the paper "Local policy search with Bayesian optimization".☆19Oct 27, 2022Updated 3 years ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Apr 4, 2024Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆12Nov 30, 2022Updated 3 years ago
- Dynamical Movement Primitives in Python☆12Apr 23, 2017Updated 9 years ago
- Open-source implementation of Deep Lagrangian Networks (DeLaN)☆153Nov 23, 2024Updated last year
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆40Jan 25, 2023Updated 3 years ago
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…☆51Aug 14, 2026Updated 2 weeks ago
- ☆20Mar 16, 2026Updated 5 months ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆156Jan 5, 2026Updated 7 months ago
- Training neural networks to disentangle conservative and dissipative dynamics☆14Jan 27, 2022Updated 4 years ago
- ☆17Jun 6, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 🏍️ - JAX-based framework to model biological systems☆18Jun 21, 2026Updated 2 months ago
- [ISRR'22, Oral] Source code for paper, Monocular Camera and Single-Beam Sonar-Based Underwater Collision-Free Navigation with Domain Rand…☆13Jun 4, 2024Updated 2 years ago
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆58May 16, 2022Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆82Feb 1, 2023Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 5 years ago
- ☆12Aug 16, 2021Updated 5 years ago
- [ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains☆18Jul 20, 2021Updated 5 years ago
- ☆117May 17, 2021Updated 5 years ago
- MiniMax Multi-Agent Deep Deterministic Policy Gradient (M3DDPG) pytorch implementation☆15Feb 19, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A python tool for solving reachability/safety, parity, weak parity and generalized parity games☆12Aug 16, 2018Updated 8 years ago
- Research/development of physics-informed neural networks for dynamic systems☆33Nov 25, 2024Updated last year
- ☆33Aug 13, 2024Updated 2 years ago
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆26May 11, 2023Updated 3 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Mar 24, 2023Updated 3 years ago
- ☆16Jul 10, 2025Updated last year
- ☆15Mar 3, 2022Updated 4 years ago
- ☆18Mar 10, 2022Updated 4 years ago
- kubernetes 集群监控☆12Oct 11, 2025Updated 10 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆27Jul 9, 2023Updated 3 years ago
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆21Jul 22, 2022Updated 4 years ago
- In this project I implemented the Unscented Kalman Filter to estimate the state of multiple cars on a highway using noisy lidar and radar…☆12Feb 21, 2020Updated 6 years ago
- ☆13Oct 5, 2021Updated 4 years ago
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆20Sep 2, 2021Updated 4 years ago
- For TAMP experiments using Drake☆13Jun 4, 2024Updated 2 years ago
- Practicum on Supervised Learning in Function Spaces☆36Feb 17, 2022Updated 4 years ago