ragulpr / wtte-rnn
WTTE-RNN a framework for churn and time to event prediction
☆771Updated 4 years ago
Alternatives and similar repositories for wtte-rnn:
Users that are interested in wtte-rnn are comparing it to the libraries listed below
- Demo Weibull Time-to-event Recurrent Neural Network in Keras☆221Updated 5 years ago
- Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras☆236Updated 6 years ago
- python partial dependence plot toolbox☆852Updated 6 months ago
- XGBoost Feature Interactions & Importance☆500Updated 7 years ago
- ML-Ensemble – high performance ensemble learning☆852Updated last year
- ☆756Updated last year
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- Code for Kaggle Data Science Competitions☆750Updated 10 months ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,269Updated 6 years ago
- Resources for Data Science Process management☆204Updated 5 years ago
- H2O.ai Machine Learning Interpretability Resources☆488Updated 4 years ago
- Feature exploration for supervised learning☆763Updated 4 years ago
- Hyper-parameter optimization for sklearn☆1,610Updated 9 months ago
- XGBoost Feature Interactions Reshaped☆427Updated 7 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆488Updated 7 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- A python library for Bayesian time series modeling☆483Updated 6 months ago
- A set of useful tools for competitive data science.☆550Updated 2 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆381Updated 3 years ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,556Updated 7 months ago
- Time should be taken seer-iously☆314Updated 2 years ago
- Open source package for Survival Analysis modeling☆358Updated last year
- machine learning with logical rules in Python☆630Updated last year
- Python package for causal inference using Bayesian structural time-series models.☆239Updated 4 years ago
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- Data Analysis Baseline Library☆726Updated 3 months ago
- Implementation of statistical models to analyze time lagged conversions☆261Updated 10 months ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆674Updated 9 months ago
- StackNet is a computational, scalable and analytical Meta modelling framework☆1,317Updated 6 years ago