facebookresearch / rcpmLinks
Riemannian Convex Potential Maps
☆67Updated 2 years ago
Alternatives and similar repositories for rcpm
Users that are interested in rcpm are comparing it to the libraries listed below
Sorting:
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Convex potential flows☆83Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated last year
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- ☆54Updated 11 months ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- ☆22Updated 4 years ago
- Algorithms for computations on random manifolds made easier☆90Updated last year
- Monotone operator equilibrium networks☆52Updated 5 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- ☆34Updated 3 years ago
- Normalizing Flows using JAX☆83Updated last year
- ☆101Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆19Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- ☆63Updated last year
- Riemannian Optimization Using JAX☆49Updated last year
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- ☆38Updated 4 years ago
- Normalizing Flows in Jax☆108Updated 4 years ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- B-Spline CNNs on Lie groups☆54Updated 5 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago