gtoubassi / mnist-vaeLinks
Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior classification results with limited labels.
☆33Updated 7 years ago
Alternatives and similar repositories for mnist-vae
Users that are interested in mnist-vae are comparing it to the libraries listed below
Sorting:
- ☆201Updated 8 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- ☆52Updated 8 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆55Updated 6 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 8 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆28Updated 7 years ago
- ☆24Updated 6 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆122Updated 7 years ago
- An adversarial autoencoder implementation in pytorch☆86Updated 6 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆113Updated 7 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆73Updated 6 years ago
- Auto Encoders in PyTorch☆63Updated 7 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- ☆197Updated 3 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 9 years ago
- This repository has implementation and tutorial for Deep Belief Network☆101Updated 7 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆237Updated 7 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 10 years ago
- Active Learning on Image Data using Bayesian ConvNets☆139Updated 9 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- (beta-)VAE Tensorflow☆51Updated 7 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 6 years ago
- Disentangled Variational Auto-Encoder in TensorFlow / Keras (Beta-VAE)☆54Updated 6 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆35Updated 8 years ago