mfinzi / residual-pathway-priorsLinks
☆22Updated 4 years ago
Alternatives and similar repositories for residual-pathway-priors
Users that are interested in residual-pathway-priors are comparing it to the libraries listed below
Sorting:
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆54Updated last year
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- ☆37Updated 5 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- ☆30Updated 5 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆75Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 5 years ago
- JAX exponential map normalising flows on sphere☆17Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆125Updated 2 years ago
- ☆50Updated 5 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 6 years ago
- Official code for UnICORNN (ICML 2021)☆28Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- ☆64Updated last year
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆23Updated 3 years ago
- Hessian trace estimation using PyTorch and Hutch++☆20Updated 5 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Updated last year
- Convex potential flows☆85Updated 4 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆89Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago