adrianjav / heterogeneous_vaesLinks
Pytorch implementation of VAEs for heterogeneous likelihoods.
☆42Updated 2 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"☆85Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- ☆54Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- Probabilistic Auto-Encoder☆43Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 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
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- ☆38Updated 5 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆89Updated 3 years ago
- ☆100Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- ☆149Updated 3 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Reusable BatchBALD implementation☆79Updated last year
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆126Updated last year
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago