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7 changes: 5 additions & 2 deletions README.md
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![Codecov](https://img.shields.io/codecov/c/github/bayesflow-org/bayesflow?style=for-the-badge&link=https%3A%2F%2Fapp.codecov.io%2Fgh%2Fbayesflow-org%2Fbayesflow%2Ftree%2Fmain)
[![DOI](https://img.shields.io/badge/DOI-10.21105%2Fjoss.05702-blue?style=for-the-badge)](https://doi.org/10.21105/joss.05702)
![PyPI - License](https://img.shields.io/pypi/l/bayesflow?style=for-the-badge)
![NumFOCUS Affiliated Project](https://img.shields.io/badge/NumFOCUS-Affiliated%20Project-orange?style=for-the-badge)

BayesFlow is a Python library for simulation-based **Amortized Bayesian Inference** with neural networks.
It provides users and researchers with:
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## Awesome Amortized Inference

If you are interested in a curated list of resources, including reviews, software, papers, and other resources related to amortized inference, feel free to explore our [community-driven list](https://github.com/bayesflow-org/awesome-amortized-inference).
If you are interested in a curated list of resources, including reviews, software, papers, and other resources related to amortized inference, feel free to explore our [community-driven list](https://github.com/bayesflow-org/awesome-amortized-inference). If you'd like a paper (by yourself or someone else) featured on the list, please add it with a pull request, an issue, or a message to the maintainers.

## Acknowledgments

This project is currently managed by researchers from Rensselaer Polytechnic Institute, TU Dortmund University, and Heidelberg University. It is partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) Projects 528702768 and 508399956. The project is further supported by Germany's Excellence Strategy -- EXC-2075 - 390740016 (Stuttgart Cluster of Excellence SimTech) and EXC-2181 - 390900948 (Heidelberg Cluster of Excellence STRUCTURES), the collaborative research cluster TRR 391 – 520388526, as well as the Informatics for Life initiative funded by the Klaus Tschira Foundation.
This project is currently managed by researchers from Rensselaer Polytechnic Institute, TU Dortmund University, and Heidelberg University. It is partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) Projects 528702768 and 508399956. The project is further supported by Germany's Excellence Strategy -- EXC-2075 - 390740016 (Stuttgart Cluster of Excellence SimTech) and EXC-2181 - 390900948 (Heidelberg Cluster of Excellence STRUCTURES), the collaborative research cluster TRR 391 – 520388526, as well as the Informatics for Life initiative funded by the Klaus Tschira Foundation.

BayesFlow is a [NumFOCUS Affiliated Project](https://numfocus.org/sponsored-projects/affiliated-projects).