There are 3 repositories under pmml topic.
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Kogito Runtimes - Kogito is a cloud-native business automation technology for building cloud-ready business applications.
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
Go Scoring API for PMML
flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine
A library to parse and convert PMML models into Scikit-learn estimators.
Python PMML scoring library
Code and presentation for Strata Model Serving tutorial
Ruby Scoring API for PMML
PMML scoring library for Scala
An umbrella project for multiple implementations of model serving
JPMML-SparkML plugin for converting LightGBM-Spark models to PMML
cPMML is C++ library for scoring machine learning models serialized with the Predictive Model Markup Language (PMML)
Python PMML scoring library for PySpark as SparkML Transformer
Generate PMML for various machine learning and statistical models.
Generic Model Serving Implementation leveraging Flink
PMML scoring library for Spark as SparkML Transformer
Modeling Lifecycle with ACME Occupancy Detection and Cloudera
Demo of an In-database processing tool for scikit-learn
Big Life Lab Flow (BLLFlow) - a workflow for open, reproducible research. Includes support for PMML, DDI.
Prinz provides ML integrations for Nussknacker.
Lightning fast web service for machine learning model scoring
:tangerine: :dart: Score PMML and PFA models in Orange3
Crystal Scoring API for PMML
A C# Library for Deploying PMML Artificial Neural Network Model
Build & Convert a Spark NLP Pipeline to PMML
Demo of high performance AI model (pmml export) evaluator api base on Vert.x, Supports dynamic routing configuration for multiple pmml models via JSON
An Excel AddIn (XLL) to call model evaluators.
使用 PMML 跨平台调用基于 scikit-learn 框架制作的 KMeans 模型示例