Name | Version | Summary | date |
skclust |
2025.9.8 |
A comprehensive clustering toolkit with advanced tree cutting and visualization |
2025-09-08 21:07:56 |
ov-training-kit |
0.2.3 |
Wrappers for scikit-learn, PyTorch and Tensorflow models with OpenVINO optimization |
2025-09-04 01:03:54 |
scikit-learn-stubs |
0.0.3 |
scikit-learn stubs from the Microsoft python-type-stubs repository |
2025-08-28 01:26:49 |
training-kit |
0.1.0 |
Wrappers for scikit-learn and PyTorch models with OpenVINO optimization |
2025-08-18 19:00:49 |
GridSearchHelper |
0.8.0 |
Advanced hyperparameter tuning using grid search for ML models |
2025-02-01 07:41:14 |
skll |
5.1.0 |
SciKit-Learn Laboratory makes it easier to run machine learning experiments with scikit-learn. |
2024-12-27 16:29:34 |
HROCH |
1.4.12 |
Symbolic regression and classification |
2024-08-31 16:12:23 |
ml2json |
0.4.0 |
A safe, transparent way to share and deploy scikit-learn models. |
2024-06-08 22:37:37 |
sklearn-ml |
2.2 |
A light package build on scikit-learn, which is used for machine learning missions.By using it, you could conveniently train and use models at the same time, and do some model comparison. |
2024-04-25 14:40:23 |
sagify |
0.25.4 |
Machine Learning Training, Tuning and Deployment on AWS |
2024-03-10 12:33:03 |
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 |
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 |
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 |
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 |
hypertune |
1.1.0 |
A library for performing hyperparameter optimization with Polyaxon. |
2023-11-02 08:58:15 |
pmdarima |
2.0.4 |
Python's forecast::auto.arima equivalent |
2023-10-23 13:55:11 |
scikit-datasets |
0.2.4 |
Scikit-learn-compatible datasets |
2023-08-08 14:02:18 |
sklearn-nature-inspired-algorithms |
0.12.0 |
Search using nature inspired algorithms over specified parameter values for an sklearn estimator. |
2023-08-05 18:50:42 |