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      liquidsvm/liquidsvm 0.6.0Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression. Scala versions: 2.11
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      pantsbuild/pants 0.0.14The Pants Build System Scala versions: 2.12
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      mrdimosthenis/synapses 7.3.1A group of neural-network libraries for functional and mainstream languages Scala versions: 2.13
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      whylabs/whylogs 0.7.0An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈 Scala versions: 2.12
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      recommenders-team/recommenders 0.6.6Best Practices on Recommendation Systems Scala versions: 2.12
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      pometry/raphtory 0.2.2Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust Scala versions: 2.13
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      cdapio/cdap 6.11.1An open source framework for building data analytic applications. Scala versions: 2.12
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      h2oai/h2o-3 3.30.0.3H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. Scala versions: 2.11 2.10