12 dependents
| Package | Description | Downloads/month |
|---|---|---|
| A fast boosting implementation using Rust and Python | 3K | |
| Bayesian Optimization using Gaussian Process Regression | 2K | |
| Miscellaneous Statistical/Machine Learning tools | 2K | |
| Model agnostic and probabilistic survival analysis | 625 | |
| Lightweight interface to scikit-learn, xgboost, lightgbm, catboost, with 2 class... | 548 | |
| Unified interface for Gradient Boosted Decision Trees | 542 | |
| teller, explainable machine learning | 402 | |
| Machine Learning Reserving | 287 | |
| A high-performance gradient boosting implementation using Cython | 232 | |
| Python version of glmnet, adapted from Stanford University (scikit-learn style) | 223 | |
| Synthetic data generation | 193 | |
| Add your description here | 159 |
