Merge pull request #348 from ReactiveBayes/albertpod-patch-1

Update README.md to include external contributors

Author: bvdmitri

README.md

@@ -171,6 +171,20 @@ Our high-level project roadmap outlines the key milestones and focus areas for t
 
 For a more granular view of our progress and ongoing tasks, check out our [project board](https://github.com/orgs/reactivebayes/projects/2/views/4) or join our 4-weekly [public meetings](https://dynalist.io/d/F4aA-Z2c8X-M1iWTn9hY_ndN).
 
+# External Contributors
+
+RxInfer has benefited from the contributions and development efforts of external collaborators and organizations. We're grateful for their involvement in advancing the project.
+
+## Active Inference Institute
+
+Members of the [Active Inference Institute](https://www.activeinference.org/) have been working on improving the visualization capabilities of RxInfer/GraphPPL. Their efforts focus on developing better model visualization capabilities, creating various summary/subgraph visualization modalities, implementing different graph layout algorithms, and improving the ability to inspect and understand models.
+
+For more details on their ongoing work, see the [RxInfer development project board](https://coda.io/d/RxInfer-2024-Active-Inference-Institute_ddtS-XZ4BJb/Developing-RxInfer-jl_sufeCeIa#_lutfq_7F).
+
+## Educational Content
+
+Educational content and tutorials related to RxInfer are being developed and can be found on [Learnable Loop](https://learnableloop.com/#category=RxInfer). These resources cover a range of topics including visualizing Forney Factor Graphs, sales forecasting with time-varying autoregressive models, hidden Markov models with control, and various applications of Active Inference across different domains.
+
 # Contributing
 
 We welcome contributions from the community. If you are interested in contributing to the development of `RxInfer.jl`, please check out our [contributing guide](https://reactivebayes.github.io/RxInfer.jl/stable/contributing/guide), the [contributing guidelines](https://reactivebayes.github.io/RxInfer.jl/stable/contributing/guidelines), or look at the [issues linked with the `good first issue` label](https://github.com/ReactiveBayes/RxInfer.jl/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22) to get started.