hyper-parameters

There are 1 repository under hyper-parameters topic.

mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automated-machine-learning automl automl-api automl-python catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar neural-network random-forest scikit-learn xgboost
Language:Python 3214
asreview-hyperopt
asreview / asreview-hyperopt
Hyper parameter optimization extension for ASReview. EXPERIMENTAL
utrecht-university hyperopt hyper-parameters feature-extraction balance-strategy optimization asreview
Language:Python 8
mehdidc / fluentopt
A flexible hyper-parameter optimization library for machine learning
optimization-library hyper-parameters machinelearning
Language:Python 6
AmrMKayid / KayPruning
Pruning Neural Networks in Tensorflow 2 ✂️🕸
tensorflow-2 pruning smaller-neural-networks hyper-parameters conda
Language:Jupyter Notebook 2
adhamalhossary / optimizing-a-machine-learning-pipeline-in-azure
Project from my Machine Learning Engineer with Azure Nano-Degree program at Udacity
scikit-learn automl hyperdrive hyper-parameters accuracy
Language:Jupyter Notebook 0
kalafus / MachineLearningCurves
MachineLearningCurves is a collection of abstract papers, insights, and research notes focusing on various topics in machine learning.
activation artificial-intelligence data-science deep-learning gradient-descent hyper-parameters introspection machine-learning meta-cognition ml-resources network-topology neural-networks normalization postprocessors preprocessors research-and-development tensor-algebra weight-initialization adaptive-introspection papers
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