Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
-
Updated
Nov 12, 2024 - Python
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
The ML micro-framework built as a thin wrapper around PyTorch-Lightning and Ray Tune frameworks to push the boundaries of simplicity even further.
Hyper parameter optimization extension for ASReview. EXPERIMENTAL
A flexible hyper-parameter optimization library for machine learning
Pruning Neural Networks in Tensorflow 2 ✂️🕸
MachineLearningCurves is a collection of abstract papers, insights, and research notes focusing on various topics in machine learning.
Project from my Machine Learning Engineer with Azure Nano-Degree program at Udacity
Add a description, image, and links to the hyper-parameters topic page so that developers can more easily learn about it.
To associate your repository with the hyper-parameters topic, visit your repo's landing page and select "manage topics."