Convex potential flows
☆85Nov 19, 2021Updated 4 years ago
Alternatives and similar repositories for CP-Flow
Users that are interested in CP-Flow are comparing it to the libraries listed below
Sorting:
- ☆18Mar 16, 2022Updated 3 years ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 2 years ago
- ☆213Jan 31, 2022Updated 4 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆42May 8, 2022Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆47Jun 17, 2022Updated 3 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆664Sep 22, 2020Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Oct 26, 2020Updated 5 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆174Feb 11, 2022Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆115Oct 4, 2021Updated 4 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆34Jun 17, 2022Updated 3 years ago
- ☆16Aug 5, 2022Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆182Aug 19, 2021Updated 4 years ago
- ☆42May 31, 2019Updated 6 years ago
- Pytorch implementation of DGflow (ICLR 2021).☆15Mar 3, 2021Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆40Dec 16, 2020Updated 5 years ago
- Manifold-learning flows (ℳ-flows)☆233Nov 13, 2020Updated 5 years ago
- ☆12Dec 7, 2017Updated 8 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆91Oct 19, 2022Updated 3 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Sep 19, 2023Updated 2 years ago
- [ICLR 2022] Path integral sampler☆52Aug 21, 2023Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated last year
- Code for reproducing Flow ++ experiments☆191Apr 27, 2019Updated 6 years ago
- A library for programmatically generating equivariant layers through constraint solving☆281May 8, 2023Updated 2 years ago
- Fast Laplacian estimation☆16May 31, 2024Updated last year
- Turning SymPy expressions into PyTorch modules.☆157Jul 24, 2023Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆81Jul 16, 2021Updated 4 years ago
- ☆51Jul 25, 2024Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Dec 9, 2020Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆126Jul 6, 2023Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 4 years ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆237Jun 29, 2021Updated 4 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Dec 8, 2022Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Jul 25, 2024Updated last year
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60May 3, 2022Updated 3 years ago
- Code for Neural Spline Flows paper☆284Oct 19, 2025Updated 4 months ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Nov 20, 2021Updated 4 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- Learning the optimal transport map via input convex neural neworks☆42Jun 26, 2020Updated 5 years ago