sootlasten / disentangled-representation-papersLinks
A curated list of research papers related to learning disentangled representations
☆464Updated 6 years ago
Alternatives and similar repositories for disentangled-representation-papers
Users that are interested in disentangled-representation-papers are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆465Updated 6 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆808Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆707Updated 5 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆459Updated 5 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆199Updated last year
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- Wasserstein Auto-Encoders☆508Updated 6 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆350Updated 2 years ago
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆387Updated 5 years ago
- Pytorch implementation of β-VAE☆544Updated 4 years ago
- ☆351Updated 5 years ago
- Disentanglement library for PyTorch☆278Updated 3 years ago
- Replicating "Understanding disentangling in β-VAE"☆198Updated 7 years ago
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆461Updated 5 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,402Updated 4 years ago
- A PyTorch library for two-sample tests☆240Updated 2 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 6 years ago
- Learning deep representations by mutual information estimation and maximization☆324Updated 6 years ago
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆499Updated 6 years ago
- Implementation of VLAE☆215Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆586Updated 3 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 7 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆352Updated 6 years ago
- ☆238Updated 6 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆423Updated 2 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆352Updated 2 years ago