hyper-parameters

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mljar /mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

data-science machine-learning neural-network random-forest scikit-learn xgboost hyperparameter-optimization lightgbm ensemble feature-engineering decision-tree hyper-parameters automl automated-machine-learning catboost mljar automl-api automl-python

UpdatedJul 7, 2025
Python

asreview /asreview-hyperopt

Star8

Hyper parameter optimization extension for ASReview. EXPERIMENTAL

optimization feature-extraction hyperopt hyper-parameters utrecht-university balance-strategy asreview

UpdatedFeb 15, 2022
Python

mehdidc /fluentopt

Star6

A flexible hyper-parameter optimization library for machine learning

machinelearning optimization-library hyper-parameters

UpdatedJan 29, 2019
Python

AmrMKayid /KayPruning

Star2

Pruning Neural Networks in Tensorflow 2 ✂️🕸

conda pruning hyper-parameters tensorflow-2 smaller-neural-networks

UpdatedDec 8, 2022
Jupyter Notebook

adhamalhossary /optimizing-a-machine-learning-pipeline-in-azure

Star0

Project from my Machine Learning Engineer with Azure Nano-Degree program at Udacity

hyperdrive scikit-learn accuracy hyper-parameters automl

UpdatedJan 28, 2021
Jupyter Notebook

kalafus /MachineLearningCurves

Star0

MachineLearningCurves is a collection of abstract papers, insights, and research notes focusing on various topics in machine learning.

data-science machine-learning deep-learning network-topology artificial-intelligence neural-networks introspection gradient-descent papers activation tensor-algebra weight-initialization research-and-development hyper-parameters normalization preprocessors postprocessors meta-cognition ml-resources adaptive-introspection

UpdatedAug 11, 2025

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