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[R] Neural Ordinary Differential Equations: the current landscape

After NeurIPS 2018 and the “Neural Ordinary Differential Equations” paper deep learning research has opened up tremendously in this direction and as a result it has been rather difficult to keep up with the latest advancements. To this end I have been collecting relevant papers in the following github repository. Feel free to contribute or suggest changes if you feel something is missing. Hope this is useful to those of you working in this area!

submitted by /u/Zymieth
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.