twairball / keras_lstm_vae
Keras implementation of LSTM Variational Autoencoder
☆226Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for keras_lstm_vae
- Lstm variational auto-encoder for time series anomaly detection and features extraction☆312Updated 4 years ago
- TensorFlow LSTM-autoencoder implementation☆193Updated 6 years ago
- Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).☆28Updated 2 years ago
- Text autoencoder with LSTMs☆261Updated 5 years ago
- DAGMM Tensorflow implementation☆171Updated last year
- Anomaly detection for temporal data using LSTMs☆224Updated 3 years ago
- Anomaly detection for streaming data using autoencoders☆190Updated 2 years ago
- A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.☆293Updated 7 months ago
- Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification☆139Updated 5 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆143Updated 5 years ago
- MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow☆119Updated 5 years ago
- My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆398Updated last year
- Auto encoder for time series☆435Updated 5 years ago
- A set of utilities for writing and testing TensorFlow models☆80Updated last year
- Outlier Detection for Time Series with Recurrent Autoencoder Ensembles☆71Updated 5 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆68Updated 4 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆56Updated 6 years ago
- Deep Embedding Clustering in Keras☆130Updated 7 years ago
- Anomaly detection implemented in Keras☆374Updated 6 years ago
- Autoencoders in Keras☆126Updated 6 years ago
- A combination of Autoencoder and Robust PCA☆184Updated 4 months ago
- Implementation of Deep Temporal Clustering.☆73Updated last year
- Example code for neural-network-based anomaly detection of time-series data (uses LSTM)☆173Updated 7 years ago
- Applied generative adversarial networks (GANs) to do anomaly detection for time series data☆520Updated 5 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 5 years ago
- Data augmentation using synthetic data for time series classification with deep residual networks☆183Updated 6 years ago
- An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'☆48Updated 4 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆133Updated 5 years ago
- Generation of Time Series data using generatuve adversarial networks (GANs) for biological purposes.☆112Updated 4 years ago
- Keras implementation for Deep Embedding Clustering (DEC)☆478Updated last year