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Yep, a similar area. I don't think they state that machine learning is incompatible, though? From your first link: the (experimental, work-in-progress) policy
by jka 5y ago
Yep, a similar area. I don't think they state that machine learning is incompatible, though?
From your first link: the (experimental, work-in-progress) policy document is a worthwhile read:
https://salsa.debian.org/deeplearning-team/ml-policy/-/blob/c1228e38ecd80b3dc73e9ab6b473d85a28616261/ML-Policy.rst https://salsa.debian.org/deeplearning-team/ml-policy/-/blob/...
- pabs3 5y agoSee the second link, the main Debian DL/ML team member has concluded that open ML is not feasible. Firstly due to hardware; everyone uses the proprietary nvidia CUDA stuff, AMD have open drivers but are playing catch up and both of them require proprietary firmware. Also the speed with which the space is changing, faster than Debian release cycles. Also the lack of libre training data, training opennes and the costs of retraining.
- pabs3 5y agoAnother thing that was mentioned in the thread is non-copyright issues with training data, for example laws around consent for use of personal data.