|3 months ago||6 days ago|
|Apache License 2.0||MIT License|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
[P] Microsoft releases SynapseML v0.9.5 with support for speech synthesis, anomaly detection, and geospatial analytics on large-scale data
2 projects | reddit.com/r/MachineLearning | 8 Mar 2022
Link to Release Notes: https://github.com/microsoft/SynapseML/releases/tag/v0.9.5
Microsoft releases SynapseML v0.9.5 for distributed geospatial analytics, speech synthesis, and anomaly detection in PySpark.
1 project | reddit.com/r/Python | 8 Mar 2022
[P] SynapseML v0.9.5 announces support for geospatial analytics, speech synthesis, and anomaly detection on large-scale datasets
1 project | reddit.com/r/MachineLearning | 8 Mar 2022
Microsoft releases SynapseML v0.9.5 with support for speech synthesis, anomaly detection, and geospatial analytics on Apache Spark
1 project | reddit.com/r/apachespark | 8 Mar 2022
Microsoft releases new version of SynapseML with support for neural speech synthesis and multivariate anomaly detection
1 project | reddit.com/r/deeplearning | 8 Mar 2022
Microsoft Announces SynapseML v0.9.5 for solving computer vision challenges at large scale
1 project | reddit.com/r/computervision | 8 Mar 2022
Microsoft Announces SynapseML 0.9.5: Speech Synthesis, Anomaly Detection, ICE Plots and more!
1 project | reddit.com/r/scala | 8 Mar 2022
Microsoft AI Open-Sources ‘SynapseML’ For Developing Scalable Machine Learning Pipelines
1 project | reddit.com/r/artificial | 18 Nov 2021
Microsoft has announced the release of SynapseML, an open-source library that simplifies and speeds up the creation of machine learning (ML) pipelines. SynapseML can be used for building scalable and intelligent systems to solve various types of challenges, including anomaly detection, computer vision, deep learning, form and face recognition, Gradient boosting, microservice orchestration, model interpretability, reinforcement learning, and personalization, search and retrieval, speech processing, text analytics, and translation.
Machine learning on JVM
6 projects | reddit.com/r/scala | 5 Apr 2021
Microsoft ML for Spark gets you a range of powerful ML features on Spark.
What are some alternatives?
ND4S - ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J.
Spire - Powerful new number types and numeric abstractions for Scala.
mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]
Numsca - numsca is numpy for scala
Smile - Statistical Machine Intelligence & Learning Engine
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
Algebird - Abstract Algebra for Scala
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Libra - A dimensional analysis library based on dependent types
Squants - The Scala API for Quantities, Units of Measure and Dimensional Analysis