buriburisuri / timeseries_ganLinks
A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
☆298Updated last year
Alternatives and similar repositories for timeseries_gan
Users that are interested in timeseries_gan are comparing it to the libraries listed below
Sorting:
- TensorFlow LSTM-autoencoder implementation☆192Updated 7 years ago
- Recurrent (conditional) generative adversarial networks for generating real-valued time series data.☆656Updated 7 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆150Updated 7 years ago
- An LSTM for time-series classification☆416Updated 8 years ago
- Keras implementation of LSTM Variational Autoencoder☆229Updated 6 years ago
- Auto encoder for time series☆440Updated 6 years ago
- ☆209Updated 7 years ago
- Auxiliary Classifier Generative Adversarial Networks in Keras☆214Updated 8 years ago
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆146Updated 5 years ago
- A wizard's guide to Adversarial Autoencoders☆433Updated 4 years ago
- Scientific time series and deep learning state of the art☆281Updated 5 years ago
- Chainer implementation of adversarial autoencoder (AAE)☆256Updated 7 years ago
- Python 3.6+ (only)☆114Updated 6 years ago
- ☆151Updated 8 years ago
- A CNN for time-series classification☆156Updated 8 years ago
- Example code for neural-network-based anomaly detection of time-series data (uses LSTM)☆184Updated 8 years ago
- A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.☆440Updated 6 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆356Updated 8 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆380Updated 8 years ago
- A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…☆146Updated 7 years ago
- Implementation of C-RNN-GAN.☆458Updated 7 years ago
- This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"☆89Updated 6 years ago
- Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).☆30Updated 4 years ago
- Torch implementations of various types of autoencoders☆476Updated 8 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 7 years ago
- Keras autoencoders (convolutional/fcc) [proof of concept]☆174Updated 6 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆267Updated 6 years ago
- Autoencoders in Keras☆125Updated 7 years ago
- Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of s…☆219Updated 8 years ago
- Fully Convlutional Neural Networks for state-of-the-art time series classification☆715Updated 6 years ago