The purpose of this project is to provide an API for manipulating time series on top of Apache Spark. Functionality includes featurization using lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, and
KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood it is using TensorFlow Java API. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Ker
This is an updated version for the Mario AI Framework. As the first version was released in 2009, this is the tenth anniversary edition, integrating features from all previous versions and adding several new features.
Tribuo is a machine learning library in Java that provides multi-class classification, regression, clustering, anomaly detection and multi-label classification. Tribuo provides implementations of popular ML algorithms and also wra
CTR prediction models based on spark. Easy to use and we realized most common models for CTR prediction. The most difference is that we not only implement model trains，but also make it easy to parse the
Apache PredictionIO is an open source machine learning framework for developers, data scientists, and end users. It supports event collection, deployment of algorithms, evaluation, querying predictive
Spark-RSVD is a lib to compute approximate SVD decomposition of large sparse matrices (up to 100 million rows and columns) using an iterative algorithm for speed and efficiency.
The iterative algorithm is base