VMBoehm / PAE
Probabilistic Auto-Encoder
☆42Updated 2 years ago
Alternatives and similar repositories for PAE:
Users that are interested in PAE are comparing it to the libraries listed below
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- We got a stew going!☆27Updated last year
- ☆68Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 10 months ago
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆36Updated 2 years ago
- ☆36Updated 2 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆45Updated 2 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 6 months ago
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆12Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆116Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Implementation of the Convolutional Conditional Neural Process☆120Updated 3 years ago
- ☆53Updated 8 months ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
- ☆147Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- ☆22Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago