From 6eca9d2fc11e586adccd13f6bf7d146d9a0aba81 Mon Sep 17 00:00:00 2001 From: Marvin Schmitt <35921281+marvinschmitt@users.noreply.github.com> Date: Fri, 25 Apr 2025 21:48:25 +0200 Subject: [PATCH] Update README: NumFOCUS affiliation, awesome-abi list --- README.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 3f3269754..c4049c470 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,7 @@ ![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: @@ -225,8 +226,10 @@ You can find and install the old Bayesflow version via the `stable-legacy` branc ## 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, please add it to the list 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. + +BayesFlow is a [NumFOCUS Affiliated Project](https://numfocus.org/sponsored-projects/affiliated-projects).