Try out Maggy for hyperparameter optimization or ablation studies now on Hopsworks.ai to access a new way of writing machine learning applications.read more
Anomaly detection and Deep learning for identifying money laundering . Less false positives and higher accuracy than traditional rule-based approaches.read more
Hopsworks supports machine learning experiments to track and distribute ML for free and with a built-in TensorBoard.read more
Maggy is a framework for distribution transparent machine learning experiments on Apache Spark.
Maggy lets you reuse training codes whether you are training small models on a laptop or scaling out hyperparameter tuning or distributed deep learning on a cluster.
Maggy can replace the current waterfall development process for distributed ML applications, where code is rewritten at every stage in order to account for the different distribution context.