EmoryMLIP / OT-FlowLinks
PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
☆55Updated 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
- Regularized Neural ODEs (RNODE)☆82Updated 4 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆33Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆54Updated 11 months ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- ☆63Updated last year
- Convex potential flows☆83Updated 3 years ago
- ☆28Updated 3 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
- A minimalist implementation of score-based diffusion model☆127Updated 3 years ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆147Updated 5 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
- ☆24Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 5 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- ☆38Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆30Updated 4 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- ☆17Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago