SynapseML
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| SynapseML | rainier | |
|---|---|---|
| 18 | 1 | |
| 4,961 | 434 | |
| 0.5% | 0.0% | |
| 8.9 | 0.0 | |
| 7 days ago | 11 months ago | |
| Scala | Scala | |
| MIT License | Apache License 2.0 |
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SynapseML
- FLaNK Stack Weekly for 12 September 2023
- Microsoft announces new tool for applying ChatGPT and GPT-4 at massive scales
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Data science in Scala
b) There are libraries around e.g. Microsoft SynapseML, LinkedIn Photon ML
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[P] Microsoft releases SynapseML v0.9.5 with support for speech synthesis, anomaly detection, and geospatial analytics on large-scale data
Link to Release Notes: https://github.com/microsoft/SynapseML/releases/tag/v0.9.5
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Machine learning on JVM
Microsoft ML for Spark gets you a range of powerful ML features on Spark.
rainier
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Machine learning on JVM
Bayesian Inference which is more specific.
What are some alternatives?
mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
Breeze - Breeze is a numerical processing library for Scala.
deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Tensorflow_scala - TensorFlow API for the Scala Programming Language
azure-kusto-spark - Apache Spark Connector for Azure Kusto
Smile - Statistical Machine Intelligence & Learning Engine
cobrix - A COBOL parser and Mainframe/EBCDIC data source for Apache Spark
spark-excel - A Spark plugin for reading and writing Excel files
metarank - A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java