pityka/lamp   0.0.116

deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language

locationtech/rasterframes   0.11.1

Geospatial Raster support for Spark DataFrames

pierrenodet/spark-ensemble   0.9.1

Ensemble Learning for Apache Spark 🌲

rzykov/fastml4j   0.1

Fast Scala and nd4j based machine learning framework

s22s/pre-lt-raster-frames   0.6.1

Spark DataFrames for earth observation data

florentf9/sparkml-som   0.2

:sparkles: Spark ML implementation of SOM algorithm (Kohonen self-organizing map)

flipkart-incubator/spark-transformers   0.4.0

Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.

mrdimosthenis/scala-synapses   8.0.0

A plug-and play library for neural networks written in Scala 3

iaja/scalaldavis   0.1.2

Scala-Spark port of https://github.com/bmabey/pyLDAvis for Apache Spark LDA Topic Modelling Visualisation

eto-ai/rikai   0.1.14

Parquet-based ML data format optimized for working with unstructured data

torao/quebic   1.0.1

Simple Journaling Queue Library

liquidsvm/liquidsvm   0.6.0

Support 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.

catboost/catboost   1.2.7

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.

tupol/spark-xkmeans   0.0.1

Extension to the standard K-Means implementation of Spark ML library

alibaba/alink   1.6.2

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

mrdimosthenis/synapses   7.3.1

A group of neural-network libraries for functional and mainstream languages

whylabs/whylogs   0.7.0

An 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. 📈

apache/flink-ml   2.0.0

Machine learning library of Apache Flink

h2oai/h2o-3   3.30.0.3

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.