ekzhang / vae-cnn-mnistLinks
Conditional variational autoencoder applied to EMNIST + an interactive demo to explore the latent space.
☆23Updated 7 years ago
Alternatives and similar repositories for vae-cnn-mnist
Users that are interested in vae-cnn-mnist are comparing it to the libraries listed below
Sorting:
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 6 years ago
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆67Updated last year
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆66Updated 6 years ago
- Experiments with Neural Ordinary Differential Equations on image and text classification tasks☆33Updated 6 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆33Updated 7 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- ☆52Updated 8 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆84Updated last year
- A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.☆123Updated 7 years ago
- Yet another (very simple) approach for adversarial training.☆17Updated 8 years ago
- ☆29Updated 4 years ago
- ☆116Updated 2 years ago
- STCN: Stochastic Temporal Convolutional Networks☆69Updated 5 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated 2 years ago
- Adversarial Non-linear Independent Component Analysis☆50Updated 8 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.☆62Updated 4 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Wasserstein / earth mover's distance visualizations☆66Updated 8 years ago
- Implementation of soft dynamic time warping in pytorch☆99Updated 4 years ago
- Tensorflow 2.0 implementation of STAR RNN☆10Updated 5 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 3 years ago
- Several implementations of the kernel-based activation functions☆63Updated 6 years ago
- Official implementation of "On GANs and GMMs"☆67Updated 6 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆47Updated 7 years ago
- ☆150Updated 3 years ago