Open-source implementation of Google Vizier for hyper parameters tuning
A collection of 100+ pre-trained RL agents using Stable Baselines, train...
This is the repository of our article published in RecSys 2019 "Are We R...
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with t...
Tuning hyperparams fast with Hyperband
ML hyperparameters tuning and features selection, using evolutionary alg...
Machine learning algorithms in Dart programming language
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Workflow engine for exploration of simulation models using high throughp...
A library for composing end-to-end tunable machine learning pipelines.
Adventures using keras on Google's Cloud ML Engine
How to initialize Anchors in Faster RCNN for custom dataset?
Purely functional genetic algorithms for multi-objective optimisation
ES6 hyperparameters search for tfjs
Easily declare large spaces of (keras) neural networks and run (hyperopt...