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.☆53Updated 3 years ago
- Neural Optimal Transport with Lagrangian Costs☆58Updated 4 months ago
- Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.☆62Updated last year
- This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…☆21Updated 2 years ago
- Repository containing the code for Implicit Manifold Gaussian Process.☆15Updated last year
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 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☆14Updated 6 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆53Updated 5 years ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆36Updated 2 years ago
- ☆35Updated 3 years ago
- ☆13Updated 2 years ago
- Cross-Domain Imitation Learning via Optimal Transport☆25Updated 3 years ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- Python notebooks for Optimal Transport between Gaussian Mixture Models☆46Updated 4 years ago
- ☆43Updated 2 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆19Updated 3 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 5 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆90Updated 4 years ago
- Official Code for Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization (NIPS 2024)☆17Updated last year
- ☆31Updated last year
- JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".☆31Updated 6 months ago
- Official implementation of Constrained Synthesis with Projected Diffusion Models (NeurIPS 2024)☆17Updated 9 months ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆31Updated last year
- Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations☆49Updated 3 years ago
- ☆47Updated 4 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆52Updated 3 years ago
- Multimodal Supervised Variational Autoencoder☆17Updated 4 years ago
- An Open-Source Reinforcement Learning Framework for Robot-Task Environments☆23Updated 2 years ago
- Cross Entropy Method implemented in pytorch☆38Updated 3 years ago
- Code release for ICLR 2023 paper "NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning"☆49Updated last week