ucals / cvae
☆67Updated 2 years ago
Alternatives and similar repositories for cvae:
Users that are interested in cvae are comparing it to the libraries listed below
- Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch☆91Updated last year
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆48Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation,…☆93Updated last year
- ☆28Updated last year
- PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)☆43Updated 2 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆33Updated 3 years ago
- Multimodal Mixture-of-Experts VAE☆198Updated last year
- Causal Variational AutoEncoders☆28Updated 4 years ago
- Package for working with hypernetworks in PyTorch.☆122Updated last year
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Updated 3 years ago
- Contrastive Variational Autoencoders☆63Updated 6 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆51Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆59Updated 2 years ago
- Implementation of a model to make VAE and GMM train from each other☆27Updated 2 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Code for Diff-SCM paper☆94Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆81Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆34Updated 4 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆40Updated last year
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆129Updated 2 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 3 weeks ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- ☆40Updated 3 years ago
- Officially unofficial PyTorch code for the NIPS paper 'Natural-Parameter Networks: A Class of Probabilistic Neural Networks'☆11Updated 3 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆25Updated 2 years ago
- ☆213Updated 2 years ago