| Name | Version | Summary | date |
| noventis |
0.1.1 |
An all-in-one automation library that simplifies data cleaning, exploratory data analysis, and machine learning — from raw data to ready-to-deploy models. |
2025-10-10 16:33:42 |
| scikit-plots |
0.4.0.post5 |
An intuitive library that seamlessly adds plotting capabilities and functionality to any model objects or outputs, compatible with tools like scikit-learn, XGBoost, TensorFlow, and more. |
2025-10-08 11:31:00 |
| tanml |
0.1.7 |
Automated validation toolkit for tabular ML models—MRM, credit risk, insurance, and other regulated use cases. |
2025-10-06 17:48:46 |
| sbr-model |
0.2.1 |
Un regresor de Machine Learning que implementa un ensamblaje de Stacking con modelos de Boosting. |
2025-09-18 11:32:18 |
| sbc-model |
0.1.0 |
Un clasificador de Machine Learning que implementa un ensamblaje de Stacking con modelos de Boosting. |
2025-09-15 17:06:47 |
| xbooster |
0.2.6 |
Explainable Boosted Scoring |
2025-08-30 14:28:47 |
| coptic |
0.1.0 |
Advanced time series forecasting library with multiple algorithms |
2025-07-28 07:24:31 |
| gbmframework |
0.2.9 |
A unified framework for Gradient Boosting Models with SHAP analysis |
2025-03-10 23:06:54 |
| mljar-supervised |
1.1.15 |
Automated Machine Learning for Humans |
2025-01-14 09:08:56 |
| featrixclient |
2024.1024.1 |
Featrix AI API |
2024-10-24 17:45:18 |
| PySCIPOpt-ML |
1.3.0 |
automatically formulate and embed ML models into MIPs with SCIP |
2024-09-05 10:49:11 |
| classifierAgent |
1.1.1 |
A Python package for performing classification on datasets. |
2024-08-01 18:33:11 |
| classifier-agent |
1.0.1 |
A Python package for performing classification on datasets in CSV or Excel format. |
2024-08-01 15:22:00 |
| flowmatching-bdt |
0.2.0 |
Flow Matching with BDTs |
2024-07-24 10:12:09 |
| forust |
0.4.8 |
A lightweight gradient boosting implementation in Rust. |
2024-05-09 23:41:01 |