bodywork-ml / ml-pipeline-engineeringLinks
Best practices for engineering ML pipelines.
☆35Updated 3 years ago
Alternatives and similar repositories for ml-pipeline-engineering
Users that are interested in ml-pipeline-engineering are comparing it to the libraries listed below
Sorting:
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 5 months ago
- ☆18Updated 3 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- ☆21Updated last year
- ☆20Updated 3 years ago
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 4 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Hands-on examples showcasing popular NLP applications☆19Updated 5 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 5 years ago
- Operations Research Algorithms☆17Updated last year
- Using Kafka-Python to illustrate a ML production pipeline☆111Updated 2 years ago
- Metaflow tutorials for ODSC West 2021☆64Updated 3 years ago
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.☆52Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆86Updated 2 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆47Updated last year
- Guide for applying Unit Testing in data-driven projects☆19Updated 5 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆62Updated 2 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- Template for data pipelines, ML workflows, API dev and monitoring☆45Updated last year
- ☆16Updated 4 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- Project demonstrating dual model deployment scenarios using Vertex AI (GCP).☆34Updated 3 years ago
- 🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow☆17Updated 2 years ago
- Production Machine Learning Pipeline for Text Classification with fastText☆32Updated 4 years ago