Stars
This repository contains an implementation of "Adapting general-purpose foundation models for X-ray Ptychography in Low-Data Regimes" accepted at the NeurIPS 2025 AI4MAT Workshop.
A fully-featured package for multislice electron ptychography
PtyRAD: Ptychographic Reconstruction with Automatic Differentiation
A compatibility layer that transforms OpenAI-style API requests into Argonne National Lab's Argo API format
a repository for xray fluorescence data processing
AdvancedPhotonSource / MapsTorch
Forked from xyin-anl/MapsTorchMapsTorch is a differentiable modeling package for automating X-ray fluorescence (XRF) analysis. It combines the physics-based MAPS model with PyTorch's automatic differentiation framework
AI-assisted workflows for X-ray fluorescence simulation and data analysis
nodeology enables researchers—especially those without extensive programming experience—to quickly design and deploy full-stack AI workflows simply using prompt templates and existing functions.
This is a repository with examples to run inference endpoints on various ALCF clusters
Pty-Chi is a Python library for ptychographic image reconstruction.
This repo presents my personal collection of code and data used for the paper "Achieving sub-0.5-angstrom–resolution ptychography in an uncorrected electron microscope"
Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, …
A Python toolkit for coordinating asynchronous and dynamic ensembles of calculations.
Cuda/C++ library for Regularized 2D and 3D Tomography Reconstructions.
A GPU and CPU accelerated python package for aligning tomography datasets.
🐍 Geometric Computer Vision Library for Spatial AI
A python extension for the automatic alignment of a source image or a stack (movie) to a target image/reference frame.
A library for X-ray matter interaction cross sections for X-ray fluorescence applications
Rigid body alignment of x-ray tomography data
Interactive image stack viewing in jupyter notebooks based on ipycanvas and ipywidgets
Electron/X-ray ptychography and tomography/laminography
Automatic STEM alignment with Bayesian optimization