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sansa-stack/archived-sansa-ml
SANSA Machine Learning Layer
Scala versions: 2.11 -
ekrich/stensorflow
Scala Native support for the TensorFlow C API on Linux and macOS
Scala versions: 3.x 2.13 2.12 2.11Scala Native versions: 0.4 -
dragonfly-ai/slash
Linear Algebra and Statistics library for Scala.js, JVM, and Native.
Scala versions: 3.xScala.js versions: 1.xScala Native versions: 0.4 -
tribbloid/shapesafe
SHAPE/SāFā: static prover/type-checker for N-D array programming in Scala, a use case of intuitionistic type theory
Scala versions: 2.13 -
locationtech/rasterframes
Geospatial Raster support for Spark DataFrames
Scala versions: 2.12 2.11 -
pityka/lamp
deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language
Scala versions: 3.x 2.13 2.12 -
rzykov/fastml4j
Fast Scala and nd4j based machine learning framework
Scala versions: 2.11 -
s22s/pre-lt-raster-frames
Spark DataFrames for earth observation data
Scala versions: 2.11 -
florentf9/sparkml-som
:sparkles: Spark ML implementation of SOM algorithm (Kohonen self-organizing map)
Scala versions: 2.11 -
dragonfly-ai/matrix
A cross compiled Scala.js port of JAMA for JVM, JavaScript, and Scala Native projects.
Scala versions: 3.xScala.js versions: 1.xScala Native versions: 0.4 -
ianshiundu/openai-zio
A ZIO API Client for Open AI's API
Scala versions: 2.13 2.12 -
flipkart-incubator/spark-transformers
Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.
Scala versions: 2.11 2.10 -
prophecy-io/spark-ai
Toolbox for building Generative AI applications on top of Apache Spark.
Scala versions: 2.12 -
sb-ai-lab/replay
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Scala versions: 2.12 -
mrdimosthenis/scala-synapses
A plug-and play library for neural networks written in Scala 3
Scala versions: 3.x -
komprenilo/liga
Liga: Let Data Dance with ML Models
Scala versions: 2.12 -
iaja/scalaldavis
Scala-Spark port of https://github.com/bmabey/pyLDAvis for Apache Spark LDA Topic Modelling Visualisation
Scala versions: 2.11 -
eto-ai/rikai
Parquet-based ML data format optimized for working with unstructured data
Scala versions: 2.13 2.12 -
liquidsvm/liquidsvm
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.
Scala versions: 2.11