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update fl project link
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ThijsvdLaar committed Aug 31, 2022
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -15,7 +15,7 @@ We designed ForneyLab with a focus on flexible and modular modeling of time-seri

The current version supports [belief propagation](https://en.wikipedia.org/wiki/Belief_propagation) (sum-product message passing), [variational message passing](https://en.wikipedia.org/wiki/Variational_message_passing) and [expectation propagation](https://en.wikipedia.org/wiki/Expectation_propagation).

The [ForneyLab project page](http://forneylab.org) provides more background on ForneyLab as well as pointers to related literature and talks. For a practical introduction, have a look at [the demos](https://github.com/biaslab/ForneyLab.jl/tree/master/demo).
The [ForneyLab project page](https://biaslab.github.io/project/forneylab/) provides more background on ForneyLab as well as pointers to related literature and talks. For a practical introduction, have a look at [the demos](https://github.com/biaslab/ForneyLab.jl/tree/master/demo).

Documentation
=============
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===============

There are [demos](https://github.com/biaslab/ForneyLab.jl/tree/master/demo) available to get you started.
Additionally, the [ForneyLab project page](http://forneylab.org) contains a talk and other resources that might be helpful.
Additionally, the [ForneyLab project page](https://biaslab.github.io/project/forneylab/) contains a talk and other resources that might be helpful.


License
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2 changes: 1 addition & 1 deletion docs/src/index.md
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Expand Up @@ -22,7 +22,7 @@ Given a probabilistic model, ForneyLab generates efficient Julia code for messag

- For an in-depth overview of ForneyLab, see [A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms](https://arxiv.org/abs/1811.03407) by Cox et. al. (2018).
- For an introduction to message passing and FFGs, see [The Factor Graph Approach to Model-Based Signal Processing](https://ieeexplore.ieee.org/document/4282128/) by Loeliger et al. (2007).
- The [ForneyLab project page](http://forneylab.org) provides more background on ForneyLab as well as pointers to related literature and talks.
- The [ForneyLab project page](https://biaslab.github.io/project/forneylab/) provides more background on ForneyLab as well as pointers to related literature and talks.

## How to get started?
Head to the [Getting started](@ref) section to get up and running with ForneyLab.

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