LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
Time-series forecasting in Rust based on prophet
Aplicação Python+Streamlit para detectar automaticamente colônias bacterianas em imagens de placas de Petri. Usa visão computacional com transformada de Hough, otimização bayesiana para calibrar parâmetros e permite validação manual dos resultados com exportação de imagens. Ideal para uso laboratorial e educacional.
Molecular active learning with JAX
A Python package for machine learning pipeline optimization
Human-in-the-Loop Bayesian optimization system that learns from ordinal human feedback (A/B/C ranks) to propose optimal experiment conditions with minimal trials.
Hyperparameter tuning for CNN models on Fashion MNIST using KerasTuner. Includes random search and Bayesian optimization strategies to improve performance and training efficiency.
GUI for hyperparameter optimizer and plotting experiment results
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