14 Machine Learning libraries and projects
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Apache Spark
10.0 10.0 ScalaApache Spark - A unified analytics engine for large-scale data processing -
Deeplearning4j
9.5 6.5 L1 JavaSuite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. -
DatumBox
6.4 3.2 L3 JavaDatumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications. -
Oryx 2
7.2 0.8 L4 JavaDISCONTINUED. Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning -
Weka
4.9 0.0 PostScriptDISCONTINUED. Collection of algorithms for data mining tasks ranging from pre-processing to visualization.
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Promo
www.influxdata.com
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.