gangtao / ml_model_deployment
☆28Updated 6 years ago
Alternatives and similar repositories for ml_model_deployment:
Users that are interested in ml_model_deployment are comparing it to the libraries listed below
- Deep Learning Pipelines for Apache Spark☆58Updated 7 years ago
- An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering.☆58Updated 5 years ago
- Spark PMML 模型离线部署☆12Updated 2 years ago
- 流程化 机器学习框架 基于 scala java语言 ,一站式自动机器学习平台 ,主要包括数据分析 特征工程 ,机器模型,自动部署,超参数优化,模型自动优化,自动扩容分配创建功能,类似第四范式、阿里PAI平台、google autoMl、亚马逊SageMaker☆65Updated 6 years ago
- JPMML-SparkML plugin for converting LightGBM-Spark models to PMML☆41Updated 3 years ago
- AutoML☆38Updated 6 years ago
- Java library and command-line application for converting TensorFlow models to PMML☆75Updated 6 years ago
- some usefult utils like change tools and city lon and lat☆58Updated 6 years ago
- ☆19Updated 7 years ago
- spark 机器学习:利用jupyter工作来讲解算法原理并运行相关例子☆103Updated 8 years ago
- ☆12Updated 7 years ago
- PMML scoring library for Spark as SparkML Transformer☆20Updated 3 months ago
- graphx知识图谱、图计算相关☆64Updated 7 years ago
- Premade models for SQLFlow☆38Updated last year
- 利用RabbitMQ消息队列架设实时机器学习服务☆33Updated 5 years ago
- Spark summit 2017 europe ppt下载☆43Updated 7 years ago
- Tensorflow.js on Flink☆26Updated 6 years ago
- JPMML-SparkML plugin for converting XGBoost4J-Spark models to PMML☆36Updated 4 years ago
- 简易的模型监控界面:定期更新的用户信用分及特征分布☆16Updated 7 years ago
- CTR prediction models based on spark(LR,FM、XGBoost、XGBoostLR、XGBoostFM)☆35Updated 4 years ago
- Airflow Dag可视化编辑和管理☆47Updated 2 years ago
- Python library for converting Apache Spark ML pipelines to PMML☆96Updated last year
- AI模型序列化总结☆51Updated 5 years ago
- ☆51Updated 8 years ago
- The out-of-the-box environment to for Hadoop/Spark applications☆39Updated 2 years ago
- A stand alone industrial serving system for angel.☆62Updated 2 years ago
- JData算法大赛☆31Updated 7 years ago
- Some popular algorithms(dbscan,knn,fm etc.) on spark☆32Updated 6 years ago
- 基于sklearn,强化Pipeline和FeatureUnion两个类。对FeatureUnion类,使其支持部分数据处理;对两者,增加特征转换行为记录的功能。☆29Updated 8 years ago
- 模型服务部署 Demo☆9Updated 5 months ago