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lucascolley merged 2 commits into from
Aug 5, 2026
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DOC: update README users list #880

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58c3119
DOC: update readme list
fbourgey Aug 4, 2026
ab4d022
re-order, update docs
lucascolley Aug 5, 2026
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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -38,8 +38,12 @@ Used by:
scientific computing.
- [scikit-learn](https://github.com/scikit-learn/scikit-learn) — Machine
Learning in Python.
- [pyRiemann](https://github.com/pyRiemann/pyRiemann) — Machine learning for multivariate data through the Riemannian geometry of positive definite matrices.
- [SysIdentPy](https://github.com/wilsonrljr/sysidentpy) — System Identification Using NARMAX Models.
- [bilby](https://github.com/bilby-dev/bilby) — A unified framework for stochastic sampling packages and gravitational-wave inference.
- [ccdproc](https://github.com/astropy/ccdproc) — Astropy affiliated package for reducing optical/IR CCD data.
- [GLASS](https://github.com/glass-dev/glass) — Generator for Large Scale Structure.
- [ASPIRE](https://github.com/mj-will/aspire) — Accelerated Sequential Posterior Inference via REuse.
- *your library? Let us know!*

## Installation
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4 changes: 4 additions & 0 deletions docs/index.md
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Expand Up @@ -28,8 +28,12 @@ It is currently used by:
scientific computing.
- [scikit-learn](https://github.com/scikit-learn/scikit-learn) — Machine
Learning in Python.
- [pyRiemann](https://github.com/pyRiemann/pyRiemann) — Machine learning for multivariate data through the Riemannian geometry of positive definite matrices.
- [SysIdentPy](https://github.com/wilsonrljr/sysidentpy) — System Identification Using NARMAX Models.
- [bilby](https://github.com/bilby-dev/bilby) — A unified framework for stochastic sampling packages and gravitational-wave inference.
- [ccdproc](https://github.com/astropy/ccdproc) — Astropy affiliated package for reducing optical/IR CCD data.
- [GLASS](https://github.com/glass-dev/glass) — Generator for Large Scale Structure.
- [ASPIRE](https://github.com/mj-will/aspire) — Accelerated Sequential Posterior Inference via REuse.
- *your library? Let us know!*

(installation)=
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