tecton-ai / tecton-sample-repoLinks
Tecton's Sample Repository of Feature Definitions
☆28Updated 4 months ago
Alternatives and similar repositories for tecton-sample-repo
Users that are interested in tecton-sample-repo are comparing it to the libraries listed below
Sorting:
- Joblib Apache Spark Backend☆249Updated 8 months ago
- A series of workshop modules introducing Feast feature store.☆19Updated 3 years ago
- Spark implementation of computing Shapley Values using monte-carlo approximation☆79Updated 2 years ago
- HandySpark - bringing pandas-like capabilities to Spark dataframes☆195Updated 6 years ago
- ByteHub: making feature stores simple☆61Updated 4 years ago
- End to End example integrating MLFlow and Seldon Core☆52Updated 5 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆395Updated 3 years ago
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.☆102Updated 6 years ago
- MLflow samples - deprecated☆22Updated 2 years ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆72Updated 7 months ago
- Create HTML profiling reports from Apache Spark DataFrames☆197Updated 5 years ago
- A workshop with several modules to help learn Feast, an open-source feature store☆95Updated last month
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆509Updated 3 months ago
- MLflow App Library☆77Updated 6 years ago
- Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops☆118Updated 2 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆229Updated 3 weeks ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆56Updated 5 months ago
- scaffold of Apache Airflow executing Docker containers☆85Updated 3 years ago
- Distributed XGBoost on Ray☆152Updated last year
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆84Updated 3 months ago
- Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!☆139Updated last week
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆81Updated last year
- Joining the modern data stack with the modern ML stack☆201Updated 2 years ago
- Python - Java/Scala API for the Hopsworks feature store☆54Updated 2 months ago
- Example repo to kickstart integration with mlflow pipelines.☆77Updated 3 years ago
- A tiny framework to perform adversarial validation of your training and test data.☆24Updated 11 months ago
- Library for exploring and validating machine learning data☆779Updated 5 months ago
- Deploy production-grade Metaflow cloud infrastructure on AWS☆69Updated this week