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:
- ☆151Updated 7 years ago
- Autoencoder model for rare event classification☆105Updated 6 years ago
- Classifying time series using feature extraction☆85Updated 6 years ago
- An LSTM Autoencoder for rare event classification☆106Updated 5 years ago
- ☆113Updated 7 years ago
- A Keras-based library for analysis of time series data using deep learning algorithms.☆117Updated 7 years ago
- ☆108Updated 2 years ago
- Kaggle Competition notebooks☆34Updated 6 years ago
- Multidimensional Time Series Anomaly Detection☆27Updated 7 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- Deep learning for time-series data☆49Updated 2 years ago
- Solution to Corporación Favorita Grocery Sales Forecasting Competition☆28Updated 7 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆89Updated 6 years ago
- How to do Unsupervised Clustering with Keras☆240Updated 6 years ago
- Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras☆55Updated 6 years ago
- Autoencoders in Keras☆126Updated 7 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the differ…☆123Updated 8 years ago
- Implementations of Quantile Regression☆28Updated 7 years ago
- An implementation of a sequence to sequence neural network using an encoder-decoder☆210Updated 6 years ago
- Anomaly detection for temporal data using LSTMs☆225Updated 3 years ago
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 5 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
- ☆92Updated 7 years ago
- Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…☆34Updated 8 years ago
- Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.☆126Updated 6 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 7 years ago
- Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras☆244Updated 6 years ago
- Python-based implementations of algorithms for learning on imbalanced data.☆241Updated 3 years ago
- Deep Neural Network Ensembles for Time Series Classification☆111Updated 2 years ago