Lagrangian Neural Networks
☆576Sep 24, 2025Updated last year
Alternatives and similar repositories for lagrangian_nns
Users that are interested in lagrangian_nns 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 our paper "Hamiltonian Neural Networks"☆549Apr 13, 2021Updated 5 years ago
- ☆117May 17, 2021Updated 5 years ago
- Open-source implementation of Deep Lagrangian Networks (DeLaN)☆156Nov 23, 2024Updated last year
- Implementation of Lagrangian Neural Networks in PyTorch☆15Nov 21, 2025Updated 11 months ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆786Nov 20, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,581May 2, 2024Updated 2 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆38Aug 22, 2022Updated 4 years ago
- Quantum ground states from Reinforcement Learning☆18Jun 15, 2020Updated 6 years ago
- ☆12Aug 19, 2020Updated 6 years ago
- Hamiltonian Neural Networks for solving Differential Equations☆26Mar 24, 2022Updated 4 years ago
- Symbolic Learning in Python and Julia☆4,102Updated this week
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,550Sep 13, 2024Updated 2 years ago
- ☆21Dec 8, 2022Updated 3 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆34Oct 23, 2022Updated 4 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.
- A package for the sparse identification of nonlinear dynamical systems from data☆1,924Oct 15, 2026Updated last week
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆93Oct 19, 2022Updated 4 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆21Sep 2, 2022Updated 4 years ago
- A library for programmatically generating equivariant layers through constraint solving☆290May 8, 2023Updated 3 years ago
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆243Dec 5, 2022Updated 3 years ago
- Differential Programming and Natural Evolutationary Strategies optimization algorithms for transport Majorana Zero Modes.☆14Nov 27, 2020Updated 5 years ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,117Sep 6, 2026Updated last month
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,490Apr 4, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆291Nov 25, 2021Updated 4 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆790Apr 22, 2026Updated 6 months ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆127Jul 6, 2023Updated 3 years ago
- Structured framework for learning mechanical systems in PyTorch☆27Apr 15, 2019Updated 7 years ago
- ☆12Apr 11, 2022Updated 4 years ago
- Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learnin…☆929Updated this week
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,236Updated this week
- ☆49Dec 15, 2020Updated 5 years ago
- ☆80Sep 4, 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 framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆37Oct 30, 2020Updated 5 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,727Dec 30, 2024Updated last year
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆53Nov 14, 2021Updated 4 years ago
- A tool for weighted model counting through tensor network contraction☆21Nov 13, 2021Updated 4 years ago
- A differentiable cosmology library in JAX☆248Jun 27, 2025Updated last year
- Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.☆12Sep 24, 2021Updated 5 years ago
- 🍰 Compiling your code to an Ising Hamiltonian so you don't have to!☆54Apr 30, 2020Updated 6 years ago