ragulpr / wtte-rnnLinks
WTTE-RNN a framework for churn and time to event prediction
☆781Updated 5 years ago
Alternatives and similar repositories for wtte-rnn
Users that are interested in wtte-rnn are comparing it to the libraries listed below
Sorting:
- Demo Weibull Time-to-event Recurrent Neural Network in Keras☆222Updated 6 years ago
- Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras☆248Updated 7 years ago
- ☆761Updated 2 years ago
- XGBoost Feature Interactions & Importance☆501Updated 8 years ago
- XGBoost Feature Interactions Reshaped☆433Updated 8 years ago
- ML-Ensemble – high performance ensemble learning☆863Updated 2 years ago
- Personal data science and machine learning toolbox☆366Updated 6 years ago
- python partial dependence plot toolbox☆863Updated last year
- ☆871Updated 6 years ago
- Tuning hyperparams fast with Hyperband☆597Updated 7 years ago
- ☆383Updated 8 years ago
- Python package for stacking (machine learning technique)☆701Updated 3 months ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆326Updated 5 years ago
- ⛔️ DEPRECATED brew: Python Ensemble Learning API☆305Updated 7 years ago
- A set of useful tools for competitive data science.☆554Updated 3 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆680Updated last year
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paper☆813Updated 3 years ago
- scikit-learn compatible projects☆406Updated 10 months ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆383Updated 4 years ago
- Code for Kaggle Data Science Competitions☆750Updated last year
- Feature exploration for supervised learning☆760Updated 5 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆771Updated 2 years ago
- A python library for Bayesian time series modeling☆486Updated 2 months ago
- Python package for causal inference using Bayesian structural time-series models.☆244Updated 5 years ago
- Bayesian Optimization using xgboost and sklearn API☆225Updated 9 years ago
- H2O.ai Machine Learning Interpretability Resources☆490Updated 5 years ago
- Python implementation of the rulefit algorithm☆440Updated 2 years ago
- Resources for Data Science Process management☆206Updated 6 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆489Updated 8 years ago