https://github.com/eagerai/kerastuner

R interface to Keras Tuner

hyperparameter-tuning hypertuning keras keras-tuner r tensorflow trial

Last synced: 07 Jul 2025

https://github.com/mounishvatti/fedcustom

This project implements hyper-tuned federated learning using the Flower framework, combining FedAvg, Logistic Regression, and a 2-layer CNN. It enables decentralized model training across devices, optimizing performance while ensuring data privacy and improving accuracy on both simple and complex tasks.

cnn decentralized fedavg federated-learning flower hypertuning jupyter-notebook logistic-regression machine-learning python

Last synced: 16 Apr 2026

https://github.com/sanchariii/rice_crop_field_classification_using_satellite_data

adaboost gaussian-processes hypertuning machine-learning

Last synced: 14 May 2026