Inverse Problems Python Packages

discretize

Discretization tools for finite volume and inverse problems.

27K 199 37

pylops

PyLops – A Linear-Operator Library for Python

17K 531 125

pints

Probabilistic Inference on Noisy Time Series

17K 241 34

simpeg

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

10K 660 292

odl

Operator Discretization Library https://odl.readthedocs.io/

9K 434 120

harmonica

Forward modeling, inversion, and processing gravity and magnetic data

8K 296 91

chaosmagpy

ChaosMagPy is a simple Python package for evaluating the CHAOS geomagnetic field model and other models of Earth's magnetic field.

6K 33 5

mira-simpeg

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

4K 4 2

simpeg-drivers

Application to run SimPEG inversions on GEOH5 files, from Geoscience ANALYST

2K 2 2

ceviche

:shrimp: Electromagnetic Simulation + Automatic Differentiation

2K 419 88

pyproximal

PyProximal – Proximal Operators and Algorithms in Python

2K 83 19

aime-xai

AIME (Approximate Inverse Model Explanations) — inverse-operator XAI with publication-grade visualisations and an inverse-explanation evaluation suite.

2K 18 0

fips

Flexible Inverse Problem Solver (FIPS)

1K 0 0

scico

Scientific Computational Imaging COde

1K 164 24

mud

Maximal Updated Density equations for Data-Consistent Inversion

1K 2 2

tomobar

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

1K 53 16

multimodal-fusion

Fuse multi-modal electron microscopy datasets using inverse problems

979 5 3

vlabs-calibrate

Open-source SDK (Apache-2.0): RL environments, conformal calibration, a TRL-compatible reward function, the Lean 4 formal track, and the verifiable/vlabs CLI.

814 0 0

verifiable-labs-envs

Open-source SDK (Apache-2.0): RL environments, conformal calibration, a TRL-compatible reward function, the Lean 4 formal track, and the verifiable/vlabs CLI.

740 0 0

mud-examples

Creation of figures for papers pertaining to the MUD (Maximal Updated Density) method for Parameter Estimation.

739 0 1