pyGKLS is a Python wrapper for the GKLS generator of global optimization test functions (Giavano et al., 2003).
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Dec 11, 2025 - C++
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objective-function-optimization
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This Optuna-based hyperparameter optimization study performs both static and dynamic tuning of hyperparameters for machine learning models (SVM, RandomForest, and GradientBoosting) to maximize accuracy. It tracks and analyzes model performance, displays the best trial results, and compares the average performance of each classifier.
machine-learning-algorithms gradient-boosting-classifier svm-classifier random-forest-classifier optuna dynamic-hypersphere-algorithm objective-function-optimization
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Apr 14, 2025 - Jupyter Notebook
inflection-point bessel-function intensity-curvature jacobian-matrix diffraction-limited-spots difference-of-gaussian scale-space-feature-detection resolution-limit low-snr fluorescent-speckle-microscopy point-spread-function-fitting objective-function-optimization generalized-sparrow-limit detection-success-rate change-of-sign-2nd-derivative airy-disk-modeling subresolution-cluster-fluorophores feature-fusion-due-to-noise computationally-inexpensive-detection
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Aug 7, 2025 - MATLAB
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