DownloadBayesian inference with probabilistic programming.
Features
- Bayesian inference with probabilistic programming
- Turing models are easy to write and communicate — syntax is close to mathematical notations
- Documentation available
- Examples available
- Turing supports models with discrete parameters and stochastic control flow
- Turing is modular, written entirely in Julia, and is interoperable with the powerful Julia ecosystem
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow Turing.jl
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