I've just crunched some adoption data for 2020. I'll finalize it and post it tomorrow. Spoiler: TensorFlow/Keras = #1 deep learning solution.
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In general, deep learning frameworks adoption hit a slump in March 2020 with the Covid crisis, and only started recovering in November 2020. However, the slump wasn't dramatic and the recovery has been decent, so on balance TensorFlow and Keras have seen modest growth in 2020.
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Why do you think that adoption hit a slump with Covid? With people spending more time at home I would have assumed that Github activity would have increased?
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Massive pullback from all non-revenue generating activities (such as exploring possible ML applications) across the entire spectrum of businesses worldwide.
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Tf Object Detection evolved quite well!
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Integration with Symbolic AI next!
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