oxcsml / constrained-diffusionLinks
☆23Updated 2 years ago
Alternatives and similar repositories for constrained-diffusion
Users that are interested in constrained-diffusion are comparing it to the libraries listed below
Sorting:
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆54Updated 4 years ago
- Neural Optimal Transport with Lagrangian Costs☆60Updated 6 months ago
- Repository containing the code for Implicit Manifold Gaussian Process.☆16Updated last year
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆20Updated 3 years ago
- This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…☆21Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 3 years ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆37Updated 2 years ago
- A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015☆15Updated 6 years ago
- Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.☆63Updated last month
- ☆13Updated 2 years ago
- ☆36Updated 4 years ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- ☆45Updated 2 years ago
- Official Code for Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization (NIPS 2024)☆20Updated last year
- JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".☆32Updated 8 months ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 10 months ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Updated 2 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆31Updated 2 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆93Updated 4 years ago
- Official implementation of Constrained Synthesis with Projected Diffusion Models (NeurIPS 2024)☆19Updated 11 months ago
- Cross-Domain Imitation Learning via Optimal Transport☆25Updated 3 years ago
- Code release for "Stochastic Optimal Control Matching"☆39Updated last year
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 5 years ago
- Python notebooks for Optimal Transport between Gaussian Mixture Models☆47Updated 4 years ago
- A framework for neural network control of dynamical systems over graphs.☆56Updated 3 years ago
- ☆27Updated 2 years ago
- ☆46Updated 4 years ago
- LieTransformer: Equivariant Self-Attention for Lie Groups☆75Updated last year
- ☆18Updated 3 years ago