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 ...
IEEE

DERL: A Differential Evolution-Reinforcement Learning Framework for Efficient Hyperparameter Optimization in Hyperspectral Image Classification

Abstract: The performance of hyperspectral image (HSI) classifiers is highly sensitive to the configuration of their hyperparameters (HPs). However, manual tuning is inefficient and impractical, ...
IEEE

Deep Learning-Based Hyperparameter Optimization for Enhanced Segmentation of RGB Images in Oil Spill Detection Within Port Environments

Abstract: Accurate detection of oil spills in dynamic port environments remains critical for timely response and effective environmental protection. Recent studies have explored the application of ...
marktechpost

How to Align Large Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...
GitHub

Optuna: A hyperparameter optimization framework

Help us create the next version of Optuna! Optuna 5.0 Roadmap published for review. Please take a look at the planned improvements to Optuna, and share your feedback in the github issues. PR ...