nicola-decao / power_spherical
Pytorch implementation of the Power Spherical distribution
☆74Updated 9 months ago
Alternatives and similar repositories for power_spherical
Users that are interested in power_spherical are comparing it to the libraries listed below
Sorting:
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆37Updated 5 years ago
- ☆68Updated 2 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- ☆53Updated 9 months ago
- ☆64Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- ☆49Updated 4 years ago
- ☆36Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆118Updated last year
- ☆30Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 9 months ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Discrete Normalizing Flows implemented in PyTorch☆112Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- ☆36Updated 3 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- ☆42Updated 5 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 9 months ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago