Toolkit for Multivariate Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software framework, used in many particle physics data analysis and applications. TMVA provides functionality for building deep neural networks including fully connected, convolutional and recurrent layers. In addition, TMVA provides interfaces to other deep learning frameworks (scikit-learn, Keras). This project will focus on the development of an interface to PyTorch which will leverage existing PyKeras TMVA interface.
Strong Python and C++ skills, solid knowledge of deep learning, familiarity with PyTorch
Please DO NOT contact mentors directly by email, and instead please send project inquiries to MLSFT-GSOC@cern.ch with Project Title in the subject and relevant mentors will get in touch with you.