Awesome Ai For Science
Section: Specialized Frameworks · Probabilistic programming
FreshScore 86
Entry
PyMC
Appears in 10 awesome lists
Modern, comprehensive probabilistic programming framework in Python. Bayesian modeling with advanced MCMC sampling, variational inference, and seamless integration with ArviZ for visualization. Apache 2.0 licensed.
Open github.compymc-devs/pymc
Found in these lists
Awesome Data Analysis
Section: Tools · A probabilistic programming library for Python that allows for flexible Bayesian modeling.
FreshScore 80
Awesome First Pull Request Opportunities
Section: Python · (label: beginner friendly) A Python library for Bayesian statistical modeling and probabilistic machine learning. Beginner-friendly with 'good first issue' labels.
ActiveScore 83
Awesome Machine Learning
Section: Python · Markov Chain Monte Carlo sampling toolkit.
FreshScore 93
Awesome Open Source AI
Section: 11. Specialized Domains · Modern, comprehensive probabilistic programming framework in Python. Bayesian modeling with advanced MCMC sampling, variational inference, and seamless integration with ArviZ for visualization. Apache 2.0 licensed.
FreshScore 89
awesome-python
Section: Mathematics · Bayesian Modeling and Probabilistic Programming in Python
FreshScore 81
Awesome Python Data Science
Section: Probabilistic Methods · Bayesian Stochastic Modelling in Python.
ActiveScore 71
Libraries and packages
Section: Data Science · Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
FreshScore 86
Awesome Python
Section: Science · Probabilistic programming and Bayesian modeling in Python.
FreshScore 94
Awesome Systematic Trading
Section: Fundamental libraries · | Python | - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
FreshScore 89
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