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It was designed with these key principles:
- Universal: Pyro can represent any computable probability distribution.
- Scalable: Pyro scales to large data sets with little overhead.
- Minimal: Pyro is implemented with a small core of powerful, composable abstractions.
- Flexible: Pyro aims for automation when you want it, control when you need it.
First install PyTorch. Then install Pyro via pip: pip3 install pyro-ppl
Tags:
language
probabalistic
Last modified 16 December 2024