Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
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AI Snake Oil: Separating Hype from Reality TechPolicy.Press provides machine-learning models, research, training resources, or evaluation tools.
HyperFrames lets AI agents compose videos by writing HTML, CSS & JS — originated by HeyGen, built for the community. Open source under Apache 2.0.
Hyperspace provides conversational AI for questions, tasks, and general assistance.
HyperWrite uses AI to draft, edit, summarize, or adapt written content.
General Automated Machine Learning Framework.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Open-source implementation of Google Vizier for hyper parameters tuning.
Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
Hyperparameter optimization framework, inspired by Optuna.
Framework for distributed hyperparameter optimization.
Library for hyperparameter optimization and black box optimization benchmarks.
A very simple wrapper for convenient hyperparameter optimization.
Distributed Asynchronous Hyperparameter Optimization in Python.
Toolset for black-box hyperparameter optimisation.
Easy-to-use, scalable hyperparameter optimization framework.
Hyperparameter Optimization for TensorFlow, Keras and PyTorch.
Machine Learning – Software Engineering Daily provides machine-learning models, research, training resources, or evaluation tools.
Teachable Machine provides machine-learning models, research, training resources, or evaluation tools.
Automatic architecture search and hyperparameter optimization for PyTorch.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Cloud browsers for AI agents & Apps.
Supports software work with AI-assisted coding, testing or application development.
Open-source project that provides conversational AI for questions, tasks, and general assistance.