RuiShu / vae-clustering
Unsupervised clustering with (Gaussian mixture) VAEs
☆298Updated 8 years ago
Alternatives and similar repositories for vae-clustering:
Users that are interested in vae-clustering are comparing it to the libraries listed below
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆213Updated 5 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆209Updated 4 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆227Updated 6 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆348Updated 2 years ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆298Updated 7 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆334Updated 4 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆115Updated 8 years ago
- Implementation of VLAE☆215Updated 7 years ago
- ☆235Updated 5 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆360Updated 5 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆429Updated 7 years ago
- ☆110Updated 7 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆463Updated 5 years ago
- Replicating "Understanding disentangling in β-VAE"☆197Updated 6 years ago
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆511Updated 10 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- Wasserstein Auto-Encoders☆506Updated 6 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆101Updated 4 years ago
- A PyTorch library for two-sample tests☆238Updated last year
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆100Updated 8 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- Variational Auto-Encoders in a Sequential Setting.☆172Updated 6 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆704Updated 5 years ago
- Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).☆260Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 6 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆232Updated 6 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆229Updated 6 years ago
- ☆291Updated 7 years ago