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 Oct
|10:30 - 10:55|
Roberto CasadeiUniversity of Bologna, ItalyMedia Attached
|10:55 - 11:20|
Mandar ChandorkarCentrum Wiskunde & Informatica
|11:20 - 11:45|
Ruslan ShevchenkovertamediaMedia Attached
|11:45 - 12:10|
Philipp HallerKTH Royal Institute of Technology, Simon GeriesKTH Royal Institute of Technology, Sweden, Michael EichbergTU Darmstadt, Germany, Guido SalvaneschiTU Darmstadt, GermanyDOI Pre-print Media Attached