A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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A hyperparameter optimization framework
Multiphysics Object Oriented Simulation Environment: A robust, modern, extendable, finite element/finite volume framework that excels at creating complex multiphysics simulations.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
C++20 concurrency framework with no compromises. Excellent performance, powerful features, and simple syntax.
A Go-based framework has been developed to oversee the execution of workflows delineated by directed acyclic graphs (DAGs).