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thoughtworksinc/compute.scala
Scientific computing with N-dimensional arrays
Scala versions: 2.11 2.12 -
pityka/lamp
lamp is a deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language
Scala versions: 2.12 2.13 3.x -
eclipse/deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
Scala versions: 2.10 2.11 2.12 -
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Scala versions: 2.11 2.12 2.13 -
h2oai/h2o-3
H2O 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: 2.10 2.11