adrianjav / heterogeneous_vaesLinks
Pytorch implementation of VAEs for heterogeneous likelihoods.
☆42Updated 3 years ago
Alternatives and similar repositories for heterogeneous_vaes
Users that are interested in heterogeneous_vaes are comparing it to the libraries listed below
Sorting:
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 5 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- ☆54Updated last year
- Probabilistic Auto-Encoder☆43Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆120Updated 4 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 4 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 4 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- A brief tutorial on the Wasserstein auto-encoder☆85Updated 6 years ago
- ☆149Updated 3 years ago
- Reusable BatchBALD implementation☆79Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- ☆250Updated 2 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Updated 5 years ago
- ☆100Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago