google-deepmind / dm_hamiltonian_dynamics_suiteLinks
☆35Updated 3 years ago
Alternatives and similar repositories for dm_hamiltonian_dynamics_suite
Users that are interested in dm_hamiltonian_dynamics_suite are comparing it to the libraries listed below
Sorting:
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆36Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 2 years ago
- [ICLR 2022] Path integral sampler☆51Updated 2 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 3 years ago
- ☆20Updated 2 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆54Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 6 months ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆53Updated 3 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆56Updated last month
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆80Updated 4 months ago
- ☆110Updated 4 years ago
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆67Updated 2 years ago
- Neural Optimal Transport with Lagrangian Costs☆57Updated 3 months ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Updated 2 years ago
- Contact-Aware Symplectic Integrator Network☆15Updated 2 years ago
- ☆43Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 7 months ago
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆25Updated 3 years ago
- Code for the paper Task Agnostic Morphology Evolution.☆20Updated 4 years ago
- a starter-kit for jaynes, the cloud-agnostic launch library☆17Updated last year
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆19Updated 3 years ago
- PyTorch Package For Quasimetric Learning☆42Updated 10 months ago
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆48Updated 2 years ago
- Pytrees + dataclasses ❤️☆68Updated 4 months ago
- ☆56Updated 2 years ago