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This week on Friday (14.05.2021, 15:30, Moscow time) we will have presentation by *Andrey Kislitsyn, Aleksandra Novikova, Roland Grinis (<@U01K50REX6C>)* on they work with tensor API and implementation in KMath during spring internship.

Title: *Multiplatform library for tensors*

Abstract:
Within the KMath library, we present a multiplatfom implementation of some of the basic functionality for tensors, as one would find in PyTorch's ATen library for example. In the talk, we shall discuss the algorithms we used, including broadcasting routines and numerical power methods for SVD. We will also touch upon applications to machine learning, with examples for OLS, PCA and NEURAL NETWORKS.

<https://calendar.google.com/event?action=TEMPLATE&amp;tmeid=MDkyazcxOWtzbGlrMmZiZmU2NmRybGEwZmEgcGh5c3RlY2guZWR1X3IzaTJpbXZ2dm0zZXRsZWVxMm90aTEyMDI0QGc&amp;tmsrc=phystech.edu_r3i2imvvvm3etleeq2oti12024%40group.calendar.google.com|Calendar link>

Multiplatform library for tensors
Friday, May 14 · 15:30 – 16:30
Google Meet joining info
Video call link: <https://meet.google.com/vvn-dzkz-umb>
Or dial: ‪(US) +1 346-702-3560‬ PIN: ‪487 432 197‬#

Jupyter samples: <https://github.com/AndreiKingsley/kmath-tensors-example-jupyters>

see also: <https://github.com/mipt-npm/kmath/tree/master/examples/src/main/kotlin/space/kscience/kmath/tensors>