| Name | Version | Summary | date |
| HROCH |
1.4.11 |
Symbolic regression and classification |
2024-03-29 19:46:06 |
| scikit-tree |
0.7.2 |
Modern decision trees in Python |
2024-03-13 20:42:21 |
| skfolio |
0.1.3 |
Portfolio optimization built on top of scikit-learn |
2024-03-13 08:20:10 |
| sagify |
0.25.4 |
Machine Learning Training, Tuning and Deployment on AWS |
2024-03-10 12:33:03 |
| gurobi-machinelearning |
1.5.0 |
package to insert ML models in Gurobi |
2024-03-06 14:47:27 |
| data-science-utils |
1.7.3 |
This project is an ensemble of methods which are frequently used in python Data Science projects. |
2024-02-11 09:44:34 |
| scikit-transformers |
0.3.1 |
scikit-transformers is a very usefull package to enable and provide custom transformers such as LogColumnTransformer, BoolColumnTransformers and others fancy transformers. |
2024-02-09 23:42:52 |
| skpro |
2.2.0 |
A unified framework for probability distributions and probabilistic supervised regression |
2024-02-08 19:40:31 |
| sumire |
1.0.2 |
Scikit-learn compatible Japanese text vectorizer for CPU-based Japanese natural language processing. |
2024-01-31 14:38:04 |
| adaptivebridge |
1.1.0 |
Revolutionizing ML adaptive modelling for handling missing features and data. The model can predict missing data in real-world scenarios. |
2024-01-29 13:21:58 |
| ml2json |
0.3.0 |
A safe, transparent way to share and deploy scikit-learn models. |
2024-01-24 09:35:14 |
| felimination |
0.2.2 |
This library contains some useful scikit-learn compatible classes for feature selection. |
2024-01-15 12:37:36 |
| pwlreg |
1.0.1 |
A scikit-learn-compatible implementation of Piecewise Linear Regression |
2023-12-26 23:01:56 |
| pyhim |
0.9.1 |
Pipeline and functions to analyse multiplexed DNA-FISH data |
2023-12-13 13:26:49 |
| Odte |
0.3.6 |
Oblique decision tree Ensemble |
2023-11-27 12:56:12 |
| STree |
1.3.2 |
Oblique decision tree with svm nodes |
2023-11-27 09:25:15 |
| autopilotml |
1.0.5 |
A package for automating machine learning tasks |
2023-11-23 20:20:08 |
| skforecast |
0.11.0 |
Forecasting time series with scikit-learn regressors. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...). |
2023-11-16 21:34:59 |
| niaaml-gui |
0.2.1 |
GUI for NiaAML Python package |
2023-11-14 11:44:03 |
| funpredict |
0.0.6 |
Introducing Fun Predict, the ultimate time-saver for machine learning! No more complex coding or tedious parameter tuning - just sit back and let Fun Predict build your basic models with ease. It's like having a personal assistant for your machine learning projects, making the process simple, efficient, and, well, Fun! 🛋 |
2023-11-12 08:55:15 |