aktersnurra / information-maximizing-variational-autoencoders
A PyTorch implementation of InfoVAE: Balancing Learning and Inference in Variational Autoencoders by Zhao et al.
☆10Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for information-maximizing-variational-autoencoders
- ☆20Updated 3 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Implementation of a model to make VAE and GMM train from each other☆27Updated 2 years ago
- ☆31Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆43Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆73Updated 4 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆98Updated 5 years ago
- ☆68Updated 5 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆33Updated 3 years ago
- Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework☆51Updated 4 years ago
- Codes for 'Deep Deterministic Information Bottleneck with Matrix-based entropy functional' in ICASSP 2021☆12Updated 2 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆76Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆59Updated 5 years ago
- Contrastive Variational Autoencoders☆61Updated 5 years ago
- an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)☆33Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆79Updated 5 years ago
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Updated 2 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆19Updated 2 years ago
- Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).☆30Updated 4 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆131Updated 5 years ago
- ☆13Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆27Updated 3 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆34Updated 6 years ago
- This is an Uncertainty Study Arxiv☆11Updated 3 weeks ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆124Updated last year
- Pytorch implementation of Deep Variational Information Bottleneck☆177Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆89Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆74Updated 2 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆52Updated 5 years ago