EmoryMLIP / OT-FlowLinks
PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
☆53Updated 11 months ago
Alternatives and similar repositories for OT-Flow
Users that are interested in OT-Flow are comparing it to the libraries listed below
Sorting:
- ☆68Updated 2 years ago
- Convex potential flows☆83Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆28Updated 3 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- ☆54Updated 11 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- ☆24Updated 4 years ago
- ☆17Updated 3 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 4 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- ☆32Updated 2 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- ☆30Updated 4 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆53Updated 2 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated 11 months ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- ☆42Updated 6 years ago
- ☆21Updated 5 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated last year