Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
GPL-3.0 License
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Ne...
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
A Hyperparameter Tuning Library for Keras
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Provide an input CSV and a target field to predict, generate a model + code to run it.
Machine learning's parameter search and feature selection module which is integrated log managem...
Hyperparameter Experiments with TensorFlow and Keras
Distributed Deep learning with Keras & Spark
🧠A tool that makes AI easier.
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
AutoML library for Accurat, based on AutoKeras and Scikit-Learn.
Easy hyperparameter optimization and automatic result saving across machine learning algorithms a...
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Data science projects with Keras