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![PSL Logo]({{ "/assets/images/psl-logo-rounded.png" | relative_url }}){: .center-image }
Probabilistic soft logic (PSL) is a machine learning framework for developing probabilistic models. PSL models are easy to use and fast. You can define models using a straightforward logical syntax and solve them with fast convex optimization. PSL has produced state-of-the-art results in many areas spanning natural language processing, social-network analysis, knowledge graphs, recommender system, and computational biology. The PSL framework is available as an Apache-licensed, open source project on GitHub with an active user group for support.
Ready to get started with PSL? Jump to:
- [Getting Started Guide]({{ site.baseurl }}{% post_url 2018-07-15-getting-started-with-psl %})
- [Tutorials]({{ "/blog#tags=tutorial" | relative_url }})
- [Key Papers]({{ "/pubs" | relative_url }})
- Support Forum
- Source Code
- PSL Examples