Welcome to PyOED

PyOED is a Python-based package that brings together variational and Bayesian data assimilation algorithms for inverse problems, optimal design of experiments, and novel optimization and reinforcement learning solvers, into an integrated extensible research environment.

PyOED aims to balance between providing advanced methodologies, relying on minimal backends or packages, and being easy-to-use for non-experts who wish to develop and test new ideas for Bayesian inversion and/or optimal design of experiments. PyOED is developed as open-source, requests and contributions are welcome.

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PyOED

• Get PyOED
  • Download
  • Install
• PyOED Packages and Modules
  • Models
  • Data Assimilation (Inverse Problems)
  • Optimal Experimental Design
  • Optimization
  • Statistics
  • Machine Learning
  • Utility
  • Examples

Getting Started

• PyOED Tutorials
  • General Examples
  • Optimization

License

• License

Meet the Team

• Contact

See also

Read the PyOED Paper