The wrap, documentation and detail of tools could often be improved, and often the people who have built these tools are focused on their next paper, or their IPO. Some amazing projects have research devs who have extremely high quality thresholds but these amazing teams struggle when faced with the need to deal with the very diverse needs of the wider world - for example three major OS's, five (say) versions of each OS, 5 (say) databases, and so on. If more helpful developers could be focused on helping these projects then that would be fantastic.
The challenge is to find a figure who is not a researcher driving for papers who has authority and experience managing delivery and can engage and orchestrate mainstream contributors. Occasionally these people emerge like a messiah (cf. Linux) but it seems to me that this is one of the hit/miss factors that mean that some of the best "1000 flowers" fail to bloom.
Does Tensorflow have an Open Source project manager employed by Google?
The challenge is to find a figure who is not a researcher driving for papers who has authority and experience managing delivery and can engage and orchestrate mainstream contributors. Occasionally these people emerge like a messiah (cf. Linux) but it seems to me that this is one of the hit/miss factors that mean that some of the best "1000 flowers" fail to bloom.
Does Tensorflow have an Open Source project manager employed by Google?