Inverse Problems Python Packages

discretize

Discretization tools for finite volume and inverse problems.

ceviche

:shrimp: Electromagnetic Simulation + Automatic Differentiation

pints

Probabilistic Inference on Noisy Time Series

pylops

PyLops – A Linear-Operator Library for Python

simpeg

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

harmonica

Forward modeling, inversion, and processing gravity and magnetic data

pyproximal

PyProximal – Proximal Operators and Algorithms in Python

odl

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

eispy2d

An Open-Source Python Library for the development of algorithms for 2D Electromagnetic Inverse Scattering Problems.

chaosmagpy

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

indigo

High-Performance Structured Linear Operators

fips

Flexible Inverse Problem Solver (FIPS)

pysap-mri

MRI external plugin for Python Sparse data Analysis Package

mud

Maximal Updated Density equations for Data-Consistent Inversion

simpeg-drivers

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

nefi

Neural-field inversion: recover hidden physical fields from a single measurement with differentiable physics and no training data

torchtomo

Differentiable 2D CT in PyTorch with parallel/fan-beam projectors, exact adjoints, filtered backprojection, learnable scan geometry, and optional CUDA acceleration.

mira-simpeg

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

angler

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

kalman-inversion-lib

The repository of the kalman-inversion-lib package. Python implementations of Kalman Inversion methods for solving inverse problems.

mud-examples

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

kirchcig

GPU Kirchhoff migration to common-image gathers (CIG), with an exact adjoint. CUDA/CuPy, offset and angle domain, PyTorch autograd, ready for least-squares migration.

multimodal-fusion

Fuse multi-modal electron microscopy datasets using inverse problems

ptyrodactyl

JAX based ptychography reconstructions through differentiable programming.