Typical ML doesn't require an entirely differentiable language. For applications that do need that (mainly "scientific machine learning") Julia has taken a con

Typical ML doesn't require an entirely differentiable language. For applications that do need that (mainly "scientific machine learning") Julia has taken a considerable chunk of the market. To be fair Pytorch is more convenient if you're not doing anything unusual. And Julias more flexible AD comes with some sharp edges.