naomifridman / Deep-VAE-prediction-of-churn-customerLinks
Variational deep autoencoder to predict churn customer
☆29Updated 7 years ago
Alternatives and similar repositories for Deep-VAE-prediction-of-churn-customer
Users that are interested in Deep-VAE-prediction-of-churn-customer are comparing it to the libraries listed below
Sorting:
- Autoencoder model for rare event classification☆105Updated 6 years ago
- ☆151Updated 7 years ago
- Classifying time series using feature extraction☆86Updated 6 years ago
- An LSTM Autoencoder for rare event classification☆105Updated 5 years ago
- Implementations of Quantile Regression☆28Updated 7 years ago
- A Keras-based library for analysis of time series data using deep learning algorithms.☆117Updated 7 years ago
- ☆113Updated 7 years ago
- Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras☆55Updated 6 years ago
- ☆108Updated 2 years ago
- Multidimensional Time Series Anomaly Detection☆27Updated 7 years ago
- Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…☆34Updated 7 years ago
- This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…☆139Updated 6 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- An implementation of a sequence to sequence neural network using an encoder-decoder☆210Updated 6 years ago
- Deep learning for time-series data☆49Updated 2 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 5 years ago
- A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.☆64Updated 5 years ago
- Code for the PIDForest algorithm for anomaly detection☆27Updated 5 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 7 years ago
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 5 years ago
- Probabilistic Multivariate Time Series Forecast using Deep Learning☆96Updated 6 years ago
- ☆93Updated 7 years ago
- Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras☆243Updated 6 years ago
- Kaggle Competition notebooks☆34Updated 6 years ago
- Autoencoders in Keras☆126Updated 7 years ago
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆122Updated 5 years ago
- Anomaly detection for temporal data using LSTMs☆225Updated 3 years ago
- Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.☆77Updated 7 years ago
- Anomaly detection for streaming data using autoencoders☆199Updated 3 years ago
- Dual Staged Attention Model for Time Series prediction☆66Updated 7 years ago