daynebatten / keras-wtte-rnnLinks
Demo Weibull Time-to-event Recurrent Neural Network in Keras
☆222Updated 6 years ago
Alternatives and similar repositories for keras-wtte-rnn
Users that are interested in keras-wtte-rnn are comparing it to the libraries listed below
Sorting:
- Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras☆245Updated 7 years ago
- WTTE-RNN a framework for churn and time to event prediction☆779Updated 5 years ago
- Repo for the ML_Insights python package☆152Updated 5 months ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- Numerical machines in Python☆94Updated 11 years ago
- Python package for causal inference using Bayesian structural time-series models.☆241Updated 5 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Confidence intervals for scikit-learn forest algorithms☆290Updated 4 months ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- A garden for scikit-learn compatible trees☆288Updated last year
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆246Updated 5 years ago
- Examples of implementations of WTTE-RNN☆32Updated 7 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- Ordinal regression algorithms☆269Updated 2 years ago
- A fast xgboost feature selection algorithm☆224Updated 4 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆382Updated 3 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆267Updated last year
- XGBoost Feature Interactions Reshaped☆432Updated 7 years ago
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆122Updated 5 years ago
- Mixed Effects Random Forest☆232Updated last year
- Resources for Data Science Process management☆204Updated 5 years ago
- CostSensitiveClassification Library in Python☆206Updated 5 years ago
- Lightweight, Python library for fast and reproducible experimentation☆136Updated 6 years ago
- scikit-learn compatible projects☆410Updated 5 months ago
- ☆759Updated 2 years ago
- Dummy variable generation with fit/transform capabilities☆23Updated 7 years ago
- Library for machine learning stacking generalization.☆117Updated 6 years ago