KeLP
the Java Machine Learning Framework focusing on Kernel Machines for structured data

Main features

Why you will love KeLP!
Go to Kernel Power

Kernel Power

Exploit the power of kernel methods for your learning application.

Go to Java Flexibility

Java Flexibility

KeLP can be integrated in all your Java based projects and frameworks.

Go to Designed to be extended

Designed to be extended

KeLP design is meant to be easily extended.

Go to Easy to use

Easy to use

KeLP supports the definition of applications with a simple and intuitive JSON-based formalism.

What is KeLP?

KeLP makes the implementation of Kernel Functions simple
Kernel-based Learning Platform

KeLP (Kernel-based Learning Platform) is a machine learning platform developed by the SAG group and the ALT group of QCRI. It is entirely written in Java and it is strongly focused on Kernel Machines. It includes different Online and Batch Learning algorithms for classification, regression and clustering. Several kernel functions are already available, ranging from vector-based to structural kernels. KeLP allows for building complex kernel machine based systems, leveraging on the Java language and on a JSON interface to store and load learning configurations, as well as to save the models to be reused.

  • Exploit the power of kernel functions in popular Machine Learning algorithms

  • Exploit the expressivity, and portability of the Java language.

  • From research laboratories to production environments the step is very small with KeLP.

  • KeLP is released under the Apache 2.0 License, making it open-source and freely-available.

The team behind KeLP

Simone Filice

KeLP developer
Senior Data Scientist at Enel. Received a PhD in Information Engineering at the University of Roma Tor Vergata in 2016. Research interest in Machine Learning applied to Natural Language Processing Tasks, such as Question Answering, Paraphrase Identification and Textual Entailment.

Danilo Croce

KeLP developer
Assistant Professor at the University of Roma, Tor Vergata. His expertise concerns theoretical and applied Machine Learning in the areas of Natural Language Processing and Information Retrieval. He is interested in innovative kernels for advanced syntactic/semantic processing.

Giuseppe Castellucci

KeLP developer
Former PhD student at the University of Roma Tor Vergata in the SAG group, now NLP and ML Engineer at Almawave. I contribute to KeLP in my free time, to make it the best Kernel-based ML library.

Giovanni Da San Martino

KeLP developer
Scientist at Qatar Computing Research Institute (HBKU). He received a Ph.D. in Computer Science from the University of Bologna, Italy. His main research interest is machine learning, specifically efficient and adaptive techniques for representing high dimensional data inside learning algorithms.

Scientific Advisors