Physics Informed Ml Python Packages

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

adcd

Discover physical correction laws from anomalous data in JAX.

carnopy

Reproducible thermophysical datasets from scientific backends with visualization, provenance, and leakage-aware preparation for physics-informed machine-learning and engineering workflows.

continuiti

Learning function operators with neural networks.

physdbd

Physics-based machine learning with dynamic Boltzmann distributions

birm-nm-foo

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.