QVAC SDK and Fabric give people and companies the ability to execute inference and fine-tune powerful models on their own ...

Hyperparameter tuning is critical to the success of cross-device federated learning applications. Unfortunately, federated networks face issues of scale, heterogeneity, and privacy; addressing these ...

ECU tuning is one of the easiest ways to get some more horsepower out of your engine in modern cars. The ECU, or the engine control unit, is essentially the brains of the vehicle, and it controls all ...

Spearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification. Platform + GUI for hyperparameter ...

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Abstract: Working with Machine Learning algorithms and Big Data, one may be tempted to skip the process of hyperparameter tuning, since algorithms generally take longer to train on larger datasets.