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GitHub / karthik-d / bayesian-inference-ml-with-PyStan

Probabilistic modeling through Bayesian inference using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/karthik-d%2Fbayesian-inference-ml-with-PyStan

Stars: 2
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 437 KB
Dependencies parsed at: Pending

Created at: about 2 years ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago

Topics: ancestral-inference, ancestral-sampling, loopy-belief-propagation, message-passing-algorithm, model-based, model-based-machine-learning, probabilistic-machine-learning, probabilistic-models, pystan, sampling, sampling-methods, stan

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