DynaML is an open source library written in the Scala programming language, targeted towards machine learning researchers and practitioners.
The aim is to build a robust set of abstract classes and interfaces, which can be extended easily to implement advanced models for small and large scale applications.
DynaML has a highly modular package structure and leverages many features of the Scala programming language such as generic types, tail recursion, etc.
Currently implementations of models such as least squares support vector machines, feed forward neural networks, gaussian processes are available along with optimization solvers such as conjugate gradient, quasi-newton (BFGS), back-propagation etc.
Furthermore, DynaML has a lightweight data pipes library which enables the creation and composition of reproducible data processing workflows.
Mon 31 OctDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
10:30 - 12:10
|Practical Aggregate Programming in Scala|
Roberto Casadei University of Bologna, ItalyMedia Attached
|DynaML: A Scala machine learning environment|
Mandar Chandorkar Centrum Wiskunde & Informatica
|Scala-Gopher: CSP-style programming techniques with idiomatic Scala.|
Ruslan Shevchenko vertamediaMedia Attached
|Reactive Async: Expressive Deterministic Concurrency|
Philipp Haller KTH Royal Institute of Technology, Simon Geries KTH Royal Institute of Technology, Sweden, Michael Eichberg TU Darmstadt, Germany, Guido Salvaneschi TU Darmstadt, GermanyDOI Pre-print Media Attached