Fast and Accurate ML in 3 Lines of Code
Repository Index
47,133 repositories indexed
1–6 of 6 · Most stars
Feature engineering and selection open-source Python library compatible with sklearn.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
Stacked Generalization (Ensemble Learning)