renaxtdb / mlflow-prefect-jupyter-docker-compose
MLflow and Prefect with docker-compose
☆16Updated 2 years ago
Alternatives and similar repositories for mlflow-prefect-jupyter-docker-compose:
Users that are interested in mlflow-prefect-jupyter-docker-compose are comparing it to the libraries listed below
- dagster scikit-learn pipeline example.☆44Updated last year
- A collection of python utility functions☆12Updated 7 months ago
- A template repository with all the fundamentals needed to develop and deploy a Python data-processing routine for Prefect pipelines.☆20Updated 2 years ago
- Template for data pipelines, ML workflows, API dev and monitoring☆45Updated last year
- Record matching and entity resolution at scale in Spark☆32Updated last year
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- real-time data + ML pipeline☆54Updated this week
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆113Updated 10 months ago
- Render Jupyter Notebooks With Metaflow Cards☆25Updated 4 months ago
- ☆73Updated 5 months ago
- Docker template for basic data science packages to interface with Neo4j☆14Updated 3 years ago
- kedro cli plugin for generating a static kedro viz site (html, css, js) that can be deployed on many serverless tools.☆27Updated 2 years ago
- Code examples showing flow deployment to various types of infrastructure☆104Updated 2 years ago
- A monorepo of many Rill example projects☆33Updated 2 weeks ago
- A simple guide to understand Prefect and make it work with your own docker-compose configuration.☆160Updated 8 months ago
- Examples of various flow deployments for Prefect 1.0 (storage and run configurations)☆35Updated 2 years ago
- Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model☆61Updated 3 years ago
- Lossless in-memory compression of pandas DataFrames and Series powered by the visions type system. Up to 10x less RAM needed for the same…☆28Updated 2 years ago
- ☆26Updated 4 months ago
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.☆52Updated 2 years ago
- A very simple "hello world" project for deploying Prefect 2 to a docker container on Google Compute Engine.☆11Updated 2 years ago
- Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.☆35Updated 2 years ago
- pandas data creation by data classes☆49Updated 3 weeks ago
- A multi-process task runner for Prefect☆14Updated last year
- Python package for deduplication/entity resolution using active learning☆78Updated 5 months ago
- An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks☆21Updated 2 years ago
- A batteries included docker build including Streamlit + Visualization Tools + Pandas/Numpy + More☆11Updated 3 years ago
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …☆37Updated 2 years ago
- How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.☆37Updated 5 years ago
- The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt☆53Updated 2 months ago