alecGraves / BVAE-tf
Disentangled Variational Auto-Encoder in TensorFlow / Keras (Beta-VAE)
☆54Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for BVAE-tf
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆121Updated 6 years ago
- Disentangled Variational AutoEncoder with PyTorch☆29Updated 5 years ago
- Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…☆77Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution☆51Updated 7 years ago
- ☆89Updated 5 years ago
- ☆110Updated 7 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆31Updated 6 years ago
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 6 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- Implementation of Sequential Variational Autoencoder☆84Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 5 years ago
- Replicating "Understanding disentangling in β-VAE"☆195Updated 6 years ago
- Variational Auto Encoder☆39Updated 7 years ago
- Deep generative networks, coded with Keras.☆122Updated 7 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 6 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 6 years ago
- A implementation of FactorVAE from the paper Disentangling by Factorising, Kim & Mnih 2018 (https://arxiv.org/pdf/1802.05983.pdf )☆16Updated 6 years ago
- ☆114Updated last year
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 7 years ago
- Autoencoders using Keras☆77Updated 7 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
- Triplet Variational Autoencoder experiments for DDSM dataset☆22Updated 6 years ago
- Variational Auto-Encoders in a Sequential Setting.☆173Updated 6 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST☆60Updated 6 years ago
- Keras implementation of the conditional GAN.☆57Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆64Updated 5 years ago
- (beta-)VAE Tensorflow☆50Updated 6 years ago