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Jun 12, 2017 - CSS
hyper-parameter-optimization
Here are 22 public repositories matching this topic...
Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt
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Sep 3, 2017 - Jupyter Notebook
Pipelineopt, sckit-learn automatic pipeline optimization
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Sep 17, 2017 - Python
Combined hyper-parameter optimization and feature selection for machine learning models using micro genetic algorithms
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Feb 13, 2018 - Python
Grammaropt : a framework for optimizing over domain specific languages (DSLs)
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Jan 14, 2019 - Python
Hyper-Parameter Optimisation experiment as part of my undergraduate dissertation (2019)
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May 2, 2019 - MATLAB
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May 17, 2019 - Kotlin
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
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Jun 11, 2020 - Jupyter Notebook
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
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Sep 15, 2020 - Jupyter Notebook
Python implementation that explores how different parameters impact a single hidden layer of a feed-forward neural network using gradient descent
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Mar 5, 2021 - Python
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
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Nov 16, 2021 - Python
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Jun 1, 2022 - Jupyter Notebook
Pipoh is a library that implements several diversification techniques base on mean-variance framework. In addition, it includes a novel purely data-driven methods for determining the optimal value of the hyper-parameters associated with each investment strategy.
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Aug 22, 2022 - Python
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
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Sep 26, 2022 - Python
A gradient free optimization routine which combines Particle Swarm Optimization with a local optimization for each particle
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Jul 6, 2023 - Python
To utilize the Breast Cancer Wisconsin Dataset for machine learning purposes. The aim is to diagnose breast cancer by employing a supervised binary, distance-based classifier (K Nearest Neighbours), which will classify cases as either benign or malignant.
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Sep 14, 2023 - Jupyter Notebook
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
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Oct 3, 2023 - Python
A paper collection about automated graph learning
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Feb 5, 2024
An autoML framework & toolkit for machine learning on graphs.
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Feb 27, 2024 - Python
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
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Apr 28, 2024 - Python
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