wohlert / semi-supervised-pytorch
Implementations of various VAE-based semi-supervised and generative models in PyTorch
☆706Updated 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
- A curated list of research papers related to learning disentangled representations☆464Updated 5 years ago
- Wasserstein Auto-Encoders☆508Updated 6 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆464Updated 6 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"☆809Updated 6 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,400Updated 3 years ago
- Unsupervised clustering with (Gaussian mixture) VAEs☆299Updated 8 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- Keras implementation of Representation Learning with Contrastive Predictive Coding☆538Updated 5 years ago
- PyTorch implementations of algorithms for density estimation☆583Updated 3 years ago
- Pytorch implementation of β-VAE☆537Updated 4 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆362Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆887Updated 11 months ago
- Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)☆1,167Updated last year
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆348Updated 2 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆431Updated 8 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆424Updated 2 years ago
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆514Updated 10 years ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆300Updated 7 years ago
- Totally Versatile Miscellanea for Pytorch☆470Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆813Updated 2 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆213Updated 5 years ago
- Virtual adversarial training with Tensorflow☆251Updated 6 years ago
- A wizard's guide to Adversarial Autoencoders☆436Updated 3 years ago
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆497Updated 6 years ago
- Implementation of VLAE☆215Updated 7 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆209Updated 4 years ago
- Torch implementations of various types of autoencoders☆471Updated 7 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆814Updated 3 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago