Replace links to the new organization

.gitignore

@@ -33,6 +33,7 @@ demo/*wip.ipynb
 demo/*.jl
 
 .idea
+.vscode
 
 **/*.aux
 **/*.log

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2021-2023 BIASlab
+Copyright (c) 2021-2024 BIASlab, 2024-present ReactiveBayes
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -5,21 +5,21 @@
 | [![][docs-stable-img]][docs-stable-url] [![][docs-dev-img]][docs-dev-url] | [![DOI][ci-img]][ci-url]         |
 
 [docs-dev-img]: https://img.shields.io/badge/docs-dev-blue.svg
-[docs-dev-url]: https://biaslab.github.io/GraphPPL.jl/dev
+[docs-dev-url]: https://reactivebayes.github.io/GraphPPL.jl/dev
 
 [docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg
-[docs-stable-url]: https://biaslab.github.io/GraphPPL.jl/stable
+[docs-stable-url]: https://reactivebayes.github.io/GraphPPL.jl/stable
 
-[ci-img]: https://github.com/biaslab/GraphPPL.jl/actions/workflows/ci.yml/badge.svg?branch=master
-[ci-url]: https://github.com/biaslab/GraphPPL.jl/actions
+[ci-img]: https://github.com/reactivebayes/GraphPPL.jl/actions/workflows/ci.yml/badge.svg?branch=master
+[ci-url]: https://github.com/reactivebayes/GraphPPL.jl/actions
 
-GraphPPL.jl is a probabilistic programming language focused on probabilistic graphical models. This repository is aimed for advanced users, please refer to the [ReactiveMP.jl](https://github.com/biaslab/ReactiveMP.jl) repository for more comprehensive and self-contained documentation and usages examples.
+GraphPPL.jl is a probabilistic programming language focused on probabilistic graphical models. This repository is aimed for advanced users, please refer to the [ReactiveMP.jl](https://github.com/reactivebayes/ReactiveMP.jl) repository for more comprehensive and self-contained documentation and usages examples.
 
 # Inference Backend
 
 GraphPPL.jl does not export any Bayesian inference backend. It provides a simple DSL parser, model generation, constraints specification and meta specification helpers. To run inference on 
-generated models user needs to have a Bayesian inference backend with GraphPPL.jl support (e.g. [ReactiveMP.jl](https://github.com/biaslab/ReactiveMP.jl)). 
+generated models user needs to have a Bayesian inference backend with GraphPPL.jl support (e.g. [ReactiveMP.jl](https://github.com/reactivebayes/ReactiveMP.jl)). 
 
 # License
 
-[MIT License](LICENSE) Copyright (c) 2021-present BIASlab
+[MIT License](LICENSE) Copyright (c) 2021-2024 BIASlab, 2024-present ReactiveBayes

docs/make.jl

@@ -16,6 +16,6 @@ makedocs(
 
 if get(ENV, "CI", nothing) == "true"
     deploydocs(
-        repo = "github.com/biaslab/GraphPPL.jl.git"
+        repo = "github.com/reactivebayes/GraphPPL.jl.git"
     )
 end

docs/src/index.md

@@ -4,7 +4,7 @@ Welcome to the documentation for GraphPPL.jl.
 
 Useful links:
 
-- [`ReactiveMP.jl` documentation](https://biaslab.github.io/ReactiveMP.jl/stable/)
+- [`ReactiveMP.jl` documentation](https://reactivebayes.github.io/ReactiveMP.jl/stable/)
 - [User guide: Model specification](@ref user-guide-model-specification)
 - [User guide: Constraints specification](@ref user-guide-constraints-specification)
 - [User guide: Meta specification](@ref user-guide-meta-specification)