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Keanu is a general purpose probabilistic programming library built in Java and developed by Improbable's research team. It enables you to build Bayesian networks through which you can make probablistic predictions about large, complex and multifaceted problems.
This is an early stage, pre-alpha version of Keanu. We have an ambitious team attempting to build an even more ambitious product with the help of the open source community.
We have decided to open source Keanu at such an early stage in order to solicit user feedback and help guide the product to success.
Whilst we will always welcome contributions, we would value your time more if it were spent applying Keanu to challenging problems and locating its strengths and weaknesses.
Please create a Github Issue if you encounter any bugs or have a feature request.
- Probabilistic Programming Operators and Distributions
- Auto-differentiation
- Inference
- Maximum a posteriori
- Metropolis Hastings
- Hamiltonian Monte Carlo
- Sequential Monte Carlo (Particle Filtering)
- Support for Kotlin
Want to see an example and run it yourself? Head over to Getting Started.
Want to learn more? Head over to the Documentation.
What does the future entail for Keanu? Find out at Future.
Interested in more technical examples? Explore Examples.
Interested in working for Improbable on cool problems? Start here