scientific-python

Automate multi-observation X-ray spectral fitting, uncertainty reporting, and review with PyXspec.

Reproducible analysis and global deconvolution of TPR, TPD and TPO data.

M. Varun's independent, fault-tolerant Python pipeline for NICER data reduction and Level-3 product orchestration.

Hardware-agnostic interface for autonomous atom manipulation with STM. Simulator + RL-ready + distributed task queue.

Open-source environmental intelligence and AI research for extreme heat, PM2.5, air quality, wildfire smoke, urban climate, forecasting, uncertainty, and resilient homes.

Synchronize heterogeneous experimental instrument data onto one auditable timeline.

Interactive and batch analysis for NV-center MATLAB experiment data

Reproducible cheminformatics pipeline for chemical structure validation, canonicalization and quality control using RDKit.

Computational study of hydrogen atom energy levels comparing classical eigensolver methods with variational quantum eigensolver (VQE) implementations.

WingSAXS | 二维小角散射蝴蝶图样分析工具

Conservative 1D silicon dopant-diffusion simulation for ramp-and-hold anneals, thermal-budget comparison and validated process diagnostics.

A scientific Python simulator for exoplanet radial-velocity modeling, orbital dynamics, synthetic observations, parameter inference, and animated visualization.

Validation framework for physical realism, Raman consistency, and artifact detection in CARS/BCARS spectra.

Общая библиотека измерений, диагностики и визуализации для курса вычислительной математики

Projects and study notes related to bio and brain engineering.

Absolute-intensity calibration for SAXS with a Python API, CLI, and desktop workbench. Tracks correction history and supports canSAS and NXcanSAS export.

Reproducible code and literature-derived data for a hierarchical timing model of intermittent lower-leg muscle-pump activation during prolonged sitting, with held-out human Doppler validation. Research software; not a clinical DVT risk calculator.

Validate the semantic correctness, metadata completeness, provenance and AI readiness of Cell Painting datasets represented in AnnData.

Transparent, reproducible sequence analysis in Python. Audit ordered categorical data, discover recurring structure, compare trajectories, model transitions and latent states, test group differences, and report every analytical choice.

Interactive Python workflow for measuring timing landmarks and generating GTIs from thermonuclear X-ray burst light curves.