antonioterpin / jkonet-star

Related projects ⓘ

Alternatives and complementary repositories for jkonet-star

• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆27Updated 3 months ago
• plugyawn / gp-zoo
  A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…
  ☆14Updated 2 years ago
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆45Updated 2 years ago
• ghliu / snopt
  Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
  ☆52Updated 3 years ago
• cagatayyildiz / neural-ode-tutorial
  Neural ODE tutorial
  ☆9Updated 2 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆43Updated last year
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆61Updated last year
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆44Updated 3 years ago
• ivandariojr / LyapunovLearning
  ☆38Updated last year
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆31Updated last year
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆44Updated last year
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• cambridge-mlg / neural_diffusion_processes
  ☆12Updated last year
• wjmaddox / online_vargp
  Online variational GPs
  ☆30Updated last year
• DesmondZhong / Lagrangian_caVAE
  Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"
  ☆17Updated 2 years ago
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆42Updated 3 weeks ago
• oxcsml / constrained-diffusion
  ☆15Updated last year
• spenrich / Learning-Control-Oriented-Structure
  Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …
  ☆13Updated last year
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆22Updated 11 months ago
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆34Updated 3 years ago
• ratschlab / repulsive_ensembles
  Repo for our paper "Repulsive deep ensembles are Bayesian"
  ☆19Updated 2 years ago
• steindoringi / Variational_Integrator_Networks
  ☆18Updated last year
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆49Updated 4 years ago
• adaptive-intelligent-robotics / QDAC
  Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …
  ☆12Updated 5 months ago
• tung-nd / E2C-pytorch
  A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015
  ☆13Updated 5 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆26Updated 2 years ago
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆23Updated 2 years ago
• yuqingd / cusp
  ☆15Updated 2 years ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆49Updated 4 months ago
• PerformanceEstimation / Learning-Performance-Estimation
  This repository regroups learning ressources about performance estimation problems
  ☆12Updated 2 months ago