wohlert / semi-supervised-pytorchLinks
Implementations of various VAE-based semi-supervised and generative models in PyTorch
☆707Updated 5 years ago
Alternatives and similar repositories for semi-supervised-pytorch
Users that are interested in semi-supervised-pytorch are comparing it to the libraries listed below
Sorting:
- A curated list of research papers related to learning disentangled representations☆464Updated 5 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆465Updated 6 years ago
- Wasserstein Auto-Encoders☆508Updated 6 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- Unsupervised clustering with (Gaussian mixture) VAEs☆298Updated 8 years ago
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆515Updated 10 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆431Updated 8 years ago
- PyTorch implementations of algorithms for density estimation☆584Updated 4 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆365Updated 5 years ago
- Pytorch implementation of β-VAE☆543Updated 4 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 5 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆808Updated 6 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆210Updated 4 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆817Updated 3 years ago
- ☆200Updated 8 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆213Updated 5 years ago
- Experiments for understanding disentanglement in VAE latent representations☆818Updated 2 years ago
- Implementation of VLAE☆215Updated 7 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,401Updated 4 years ago
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆498Updated 6 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆425Updated 2 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆350Updated 2 years ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆302Updated 7 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆271Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Keras implementation of Representation Learning with Contrastive Predictive Coding☆540Updated 5 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- Disentanglement library for PyTorch☆276Updated 3 years ago
- A wizard's guide to Adversarial Autoencoders☆436Updated 3 years ago
- ☆237Updated 6 years ago