Name: Using pytorch models in c++ projects
Start: 2019-03-14T18:00:00-04:00
End: 2019-03-14T21:00:00-04:00
Location: 6650 Rue Saint-Urbain

Deep learning provides solutions for many hard problems in game development, such as AI, animation, speech recognition and synthesis. However, many engines are written in C++ and this won't change in the forseeable future. This talk gives a glimpse at integration of deep learning models, trained in python into an engine written in C++. The framework used in this talk is pytorch/libtorch, the game engine we use is Godot.

About the speaker:
Georgy Derevyanko, PostDoc at Concordia/MILA, working on applications of deep learning in molecular biology (protein folding and interaction). He did his PhD at Universite Joseph Fourier (Grenoble, France) in computational predictions of protein interactions.

Gabriel Aubut-Lussier

C++ Montréal

Technology

Computer Programming

C++ Montréal

Using pytorch models in c++ projects

C++ Montréal

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