IEEE

ASHSniper: Automatic One-shot Hyperparameter Selection for Density Peaks Clustering

Abstract: Clustering is essential in data analysis since many real-world datasets are unlabeled and are expensive to label. Density-based clustering algorithms are known for their capability of ...
IEEE

EffiDenseGenOp: Ensemble Transfer Learning With Hyperparameter Tuning Using Genetic Algorithm Optimization for PCOS Detection From Ultrasound Sonography Images

Abstract: In this research, we present the revolutionary ‘EffiDenseGenOp’ framework for Polycystic Ovary Syndrome (PCOS) detection, leveraging the amalgamation of Ensembled Transfer Learning Models.
GitHub

Hyperoptax: Parallel hyperparameter tuning with JAX

Hyperoptax is still a WIP and the API is subject to change. There are many rough edges to smooth out. It is recommended to download specific versions or to download from source if you want to use it ...
marktechpost

A Complete End-to-End Coding Guide to MLflow Experiment Tracking, Hyperparameter Optimization, Model Evaluation, and Live Model Deployment

In this tutorial, we build a complete, production-grade ML experimentation and deployment workflow using MLflow. We start by launching a dedicated MLflow Tracking Server with a structured backend and ...