Dbt_ml
Package for dbt that allows users to train, audit and use BigQuery ML models.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Sqlflow | 4,682 |  | 1 | a year ago | 1 | November 19, 2019 | 250 | apache-2.0 | Go | |
| Brings SQL and AI together. | ||||||||||
| Scio | 2,505 | 37 | 3 months ago | 96 | November 21, 2023 | 142 | apache-2.0 | Scala | ||
| A Scala API for Apache Beam and Google Cloud Dataflow. | ||||||||||
| Bigquery Oreilly Book | 447 | a year ago | 2 | apache-2.0 | Jupyter Notebook | |||||
| Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media | ||||||||||
| Issue Label Bot | 313 | 2 years ago | 2 | mit | SCSS | |||||
| Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit" | ||||||||||
| Sql Scripts | 291 | 9 months ago | 2 | mit | Shell | |||||
| 100+ SQL Scripts - PostgreSQL, MySQL, Google BigQuery, MariaDB, AWS Athena. DevOps / DBA / Analytics / performance engineering. Google BigQuery ML machine learning classification. | ||||||||||
| Geomancer | 194 | 3 years ago | 4 | May 06, 2019 | 13 | mit | Python | |||
| Automated feature engineering for geospatial data | ||||||||||
| Fraudfinder | 164 | 4 months ago | 5 | apache-2.0 | Jupyter Notebook | |||||
| Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud | ||||||||||
| Dbt Ml Preprocessing | 162 | 10 months ago | 8 | mit | Python | |||||
| A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros. | ||||||||||
| Analytics Componentized Patterns | 142 | a year ago | 6 | apache-2.0 | Jupyter Notebook | |||||
| Tensorflow Lifetime Value | 140 | 2 years ago | 9 | apache-2.0 | Jupyter Notebook | |||||
| Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library. | ||||||||||
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