aws / sagemaker-sparkml-serving-containerLinks
This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.
☆52Updated last year
Alternatives and similar repositories for sagemaker-sparkml-serving-container
Users that are interested in sagemaker-sparkml-serving-container are comparing it to the libraries listed below
Sorting:
- A Spark library for Amazon SageMaker.☆300Updated 5 months ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 5 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last month
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 3 years ago
- SageMaker specific extensions to TensorFlow.☆54Updated last year
- ☆72Updated last year
- A library of additional estimators and SageMaker tools based on scikit-learn☆40Updated last year
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆143Updated last year
- Scripts and instructions to facilitate running Deep Learning Tasks on Amazon EMR☆63Updated last year
- [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples☆71Updated 5 years ago
- The open source version of the Amazon EMR Management Guide. You can submit feedback & requests for changes by submitting issues in this r…☆62Updated 2 years ago
- Docker images that replicate the Amazon SageMaker Notebook instance.☆58Updated 3 years ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 2 months ago
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- XGBoost GPU accelerated on Spark example applications☆53Updated 3 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆181Updated 3 months ago
- MLflow App Library☆80Updated 6 years ago
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆74Updated last year
- ☆135Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- Automated data quality suggestions and analysis with Deequ on AWS Glue☆86Updated 2 years ago
- ☆30Updated 5 months ago
- Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops☆118Updated 2 years ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.☆81Updated last year
- Data Profiler for AWS Glue Data Catalog application as described in the AWS Big Data Blog post "Build an automatic data profiling and rep…☆20Updated 5 years ago
- Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful …☆144Updated last year
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆153Updated last month
- Samples and documentation for various advertising and marketing use cases on AWS.☆36Updated 2 years ago
- Streaming ETL with Apache Flink and Amazon Kinesis Data Analytics☆65Updated last year