Download
PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and other advanced algorithms. It’s widely used in scientific research, data science, and decision modeling.
Features
- Define probabilistic models using Python syntax
- Bayesian inference with MCMC and VI
- Rich diagnostics and posterior analysis tools
- Supports custom distributions and likelihoods
- Integrates with NumPy, pandas, and JAX
- Visualization tools with ArviZ integration
Project Samples
Categories
StatisticsLicense
Apache License V2.0Follow PyMC
Other Useful Business Software
Build Agents and Models on One Platform
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of PyMC!
