EmoryMLIP / OT-FlowLinks
PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
☆56Updated last year
Alternatives and similar repositories for OT-Flow
Users that are interested in OT-Flow are comparing it to the libraries listed below
Sorting:
- ☆54Updated last year
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Regularized Neural ODEs (RNODE)☆84Updated 4 years ago
- ☆68Updated 2 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated last year
- Convex potential flows☆83Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆56Updated 2 years ago
- ☆28Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆34Updated 3 years ago
- ☆63Updated last year
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- ☆24Updated 4 years ago
- ☆30Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Stochastic Normalizing Flows☆77Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- ☆47Updated last year
- ☆148Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago