Welcome to Taija
Trustworthy Artificial Intelligence in Julia
Taija is the organization that hosts software geared towards Trustworthy Artificial Intelligence in Julia.
Taija takes part in Julia Season of Contributions
Counterfactual Explanations
Conformal Prediction
Bayesian Deep Learning
Make sense of your AI models
Artificial Intelligence (AI) has been advancing rapidly in recent years. Consequently, Julia’s AI ecosystem has also been growing fast. Taija is an effort to provide users with tools to make sense of the AI models that they train and deploy. Some highlights include:
- Model Explainability (CounterfactualExplanations.jl)
- Algorithmic Recourse (CounterfactualExplanations.jl, AlgorithmicRecourseDynamics.jl)
- Predictive Uncertainty Quantification (ConformalPrediction.jl, LaplaceRedux.jl)
- Effortless Bayesian Deep Learning (LaplaceRedux.jl)
- Hybrid Learning (JointEnergyModels.jl)
Taija is a community effort largely maintained by academics and students at TU Delft. We welcome contributions of any kind.
Contribute
We welcome contributions of any kind. If you want to get involved or use our software for or project, please feel free to reach out. If you have questions, comments or issues related to specific packages, please feel free to open issues or discussions on the respective repository.
Contact
Probably the easiest way is to join the JuliaLang Slack and join our #taija channel. You can also post a GitHub Issue on our organization repo. You can find @pat-alt’s socials and contact details on his website: www.patalt.org.