logicalclocks / hops-docsLinks
Documentation for Hopsworks and Hops
☆11Updated 3 years ago
Alternatives and similar repositories for hops-docs
Users that are interested in hops-docs are comparing it to the libraries listed below
Sorting:
- Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops☆118Updated 2 years ago
- Documentation and resources for deploying JupyterHub on Hadoop☆19Updated 6 years ago
- Python - Java/Scala API for the Hopsworks feature store☆54Updated 2 months ago
- real-time data + ML pipeline☆53Updated last week
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- The Internals of PySpark☆27Updated 11 months ago
- Distribution transparent Machine Learning experiments on Apache Spark☆91Updated last year
- ☆31Updated 4 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 3 years ago
- Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML☆41Updated last year
- ☆10Updated 3 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆35Updated 5 years ago
- ☆19Updated 4 years ago
- [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples☆71Updated 5 years ago
- Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with …☆53Updated 11 months ago
- Use Kafka and Apache Spark streaming to perform click stream analytics☆76Updated 5 years ago
- Scaling Python Machine Learning☆52Updated 2 years ago
- ☆59Updated 4 years ago
- Kubeflow example of machine learning/model serving☆37Updated 5 years ago
- Code for Packt Publishing's Spark for Data Science Cookbook.☆22Updated 8 years ago
- Code examples for the Introduction to Kubeflow course☆14Updated 4 years ago
- Friendly ML feature store☆45Updated 3 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- XGBoost GPU accelerated on Spark example applications☆52Updated 3 years ago
- Mastering Spark for Data Science, published by Packt☆49Updated 2 years ago
- ☆18Updated 4 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆39Updated 4 years ago
- Deep Learning how-to's using Lance file format☆22Updated 6 months ago
- notebooks for nlp-on-spark☆13Updated 8 years ago
- ☆31Updated 3 years ago