Scientific Computational Imaging Code (SCICO)
Scientific Computational Imaging Code (SCICO) - Published in JOSS (2022)
LenslessPiCam
LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi - Published in JOSS (2023)
FastVPINNs
FastVPINNs: An efficient tensor-based Python library for solving partial differential equations using hp-Variational Physics Informed Neural Networks - Published in JOSS (2024)
PyUnfold
PyUnfold: A Python package for iterative unfolding - Published in JOSS (2018)
DIRECT
DIRECT: Deep Image REConstruction Toolkit - Published in JOSS (2022)
GraphSL
GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets - Published in JOSS (2024)
PxMCMC
PxMCMC: A Python package for proximal Markov Chain Monte Carlo - Published in JOSS (2023)
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
atmospheric-inverse-methods-for-flux-optimization
Functions for optimizing surface fluxes of some tracer to be consistent with atmospheric measurements of that tracer.
PyProximal - scalable convex optimization in Python
PyProximal - scalable convex optimization in Python - Published in JOSS (2024)
fno-nf.jl
Solving multiphysics-based inverse problems with learned surrogates and constraints
https://github.com/forieux/qmm
Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...
https://github.com/bayesflow-org/awesome-amortized-inference
This is a community-driven collection of resources around amortized inference.
ceit
Python Package for EIT(Electric Impedance Tomography)-like problems using Gauss-Newton method.
https://github.com/astro-informatics/darkmappy
Scalable mapping of the dark universe
epi
EPI is a python package for inverse parameter inference
deepinv
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
eispy2d
An Open-Source Python Library for the development of algorithms for 2D Electromagnetic Inverse Scattering Problems.
NMRInversions.jl, a Julia package for time-domain Nuclear Magnetic Resonance
NMRInversions.jl, a Julia package for time-domain Nuclear Magnetic Resonance - Published in JOSS (2025)
https://github.com/openthermochronology/thermochron.jl
Open-source time-Temperature inversion of thermochronometric data
SciMLWorkshop
Workshop materials for training in scientific computing and scientific machine learning
https://github.com/casus/pde-learning
Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces
sfrc
sFRC: To detect hallucinated regions in medical images reconstructed using AI
deconv_code_data
Deconvolution of the growth law equation. Theory and experiments published at https://doi.org/10.5194/gi-11-293-2022
chaosmagpy
ChaosMagPy is a simple Python package for evaluating the CHAOS geomagnetic field model and other models of Earth's magnetic field.
https://github.com/albertocuadra/inverse_problems
A collection of inverse problems (e.g., reconstruction of databases, algebraic reconstruction, topological derivatives, gravitational prospecting)
3pnn
Code and source data used in the article "3D printed biomimetic cochleae and machine learning co-modelling provides clinical informatics for cochlear implant patients" (Lei et al. Nature Communications, 2021). The code is used for modelling the relationship between electric field imaging (EFI) profiles and the electro-anatomical features of cochleae using a multilayer perceptron (MLP) artificial neural network (NN) model.
manifold_lifting
Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'