twairball / keras_lstm_vae
Keras implementation of LSTM Variational Autoencoder
☆228Updated 5 years ago
Alternatives and similar repositories for keras_lstm_vae:
Users that are interested in keras_lstm_vae are comparing it to the libraries listed below
- Lstm variational auto-encoder for time series anomaly detection and features extraction☆318Updated 4 years ago
- TensorFlow LSTM-autoencoder implementation☆194Updated 7 years ago
- Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).☆29Updated 3 years ago
- MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow☆120Updated 5 years ago
- DAGMM Tensorflow implementation☆172Updated last year
- Anomaly detection for temporal data using LSTMs☆223Updated 3 years ago
- Example code for neural-network-based anomaly detection of time-series data (uses LSTM)☆175Updated 7 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆147Updated 6 years ago
- Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification☆139Updated 5 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆56Updated 6 years ago
- Outlier Detection for Time Series with Recurrent Autoencoder Ensembles☆71Updated 5 years ago
- Anomaly detection for streaming data using autoencoders☆192Updated 2 years ago
- A set of utilities for writing and testing TensorFlow models☆81Updated last year
- My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆403Updated 2 years ago
- A combination of Autoencoder and Robust PCA☆184Updated 7 months ago
- Anomaly detection implemented in Keras☆374Updated 6 years ago
- A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.☆295Updated 10 months ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 4 years ago
- Auto encoder for time series☆437Updated 5 years ago
- Text autoencoder with LSTMs☆262Updated 5 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆135Updated 5 years ago
- Transfer learning for time series classification☆378Updated 5 years ago
- Implementation of Deep Temporal Clustering.☆74Updated last year
- Multidimensional Time Series Anomaly Detection☆27Updated 7 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆66Updated last year
- Stacked Denoising AutoEncoder☆75Updated 5 years ago
- conditional variational autoencoder written in Keras [not actively maintained]☆96Updated 7 years ago
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆62Updated 5 years ago
- GAAL-based Outlier Detection☆131Updated 2 years ago
- Data augmentation using synthetic data for time series classification with deep residual networks☆185Updated 6 years ago