abspy
abspy: A Python package for 3D adaptive binary space partitioning and modeling - Published in JOSS (2025)
deepdiff
DeepDiff: Deep Difference and search of any Python object/data. DeepHash: Hash of any object based on its contents. Delta: Use deltas to reconstruct objects by adding deltas together.
polygnn
PolyGNN: Polyhedron-based graph neural network for 3D building reconstruction from point clouds [ISPRS 2024]
metpyqc
Python library for quality control and reconstruction of meteorological data
https://github.com/mpes-kit/fuller
Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data
https://github.com/compvis/edgs
A PyTorch implementation of the paper "EDGS: Eliminating Densification for Efficient Convergence of 3DGS"
vrn
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
https://github.com/chenzhaiyu/awesome-planar-reconstruction
A curated list on piecewise-planar reconstruction
path_planning_for_fevar
[ICRA 2019] Towards 3d path planning from a single 2d fluoroscopic image for robot assisted fenestrated endovascular aortic repair
KeepDelta
KeepDelta: A Python Library for Human-Readable Data Differencing - Published in JOSS (2025)
acts
Experiment-independent toolkit for (charged) particle track reconstruction in (high energy) physics experiments implemented in modern C++
tomobear
TomoBEAR is a configurable and customizable modular pipeline for streamlined processing of cryo-electron tomographic data for subtomogram averaging.
points2poly
Reconstructing compact building models from point clouds using deep implicit fields [ISPRS 2022]
fairroot
C++ simulation, reconstruction and analysis framework for particle physics experiments
Easy3D
Easy3D: a lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data - Published in JOSS (2021)