yixinwang / lidvae-publicLinks
☆16Updated 3 years ago
Alternatives and similar repositories for lidvae-public
Users that are interested in lidvae-public are comparing it to the libraries listed below
Sorting:
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 4 years ago
- ☆24Updated 4 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆83Updated 5 years ago
- A curated list of techniques to avoid posterior collapse☆86Updated 2 years ago
- ☆149Updated 3 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Updated 2 months ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆39Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- ☆18Updated last year
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- ☆25Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 6 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- ☆54Updated last year
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆23Updated 5 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆129Updated 2 years ago
- Code for Neural Spline Flows paper☆282Updated last month
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆94Updated 3 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 4 years ago
- ☆37Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Updated 5 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 2 months ago