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

• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 3 years ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆36Updated 2 years ago
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆52Updated 2 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆52Updated 2 years ago
• steindoringi / Variational_Integrator_Networks
  ☆20Updated 2 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆53Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆58Updated 3 months ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆111Updated 4 years ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆59Updated 5 months ago
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆246Updated 3 weeks ago
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆67Updated 2 years ago
• libeanim / contact-symplectic-integrator-network
  Contact-Aware Symplectic Integrator Network
  ☆15Updated 2 years ago
• brentyi / jax_dataclasses
  Pytrees + dataclasses ❤️
  ☆67Updated 6 months ago
• ivandariojr / LyapunovLearning
  ☆43Updated 2 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆34Updated 2 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆88Updated 3 years ago
• jhejna / morphology-opt
  Code for the paper Task Agnostic Morphology Evolution.
  ☆20Updated 4 years ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆29Updated 8 months ago
• crowsonkb / mdmm-jax
  Gradient-based constrained optimization for JAX
  ☆35Updated 3 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆47Updated 2 years ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆81Updated 6 months ago
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated last year
• tristandeleu / jax-comln
  Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
  ☆25Updated 3 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆43Updated last year
• DesmondZhong / Lagrangian_caVAE
  Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"
  ☆19Updated 3 years ago
• danijar / elements
  Building blocks for productive research
  ☆62Updated 2 months ago
• google-deepmind / annealed_flow_transport
  ☆51Updated 2 years ago
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆253Updated 2 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆40Updated 2 years ago