priceloop / conventions
∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
☆102Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for conventions
- Reference package for unit tests☆49Updated 6 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆134Updated 9 months ago
- Managing machine learning life-cycle with MLflow tutorial☆23Updated last year
- 🐍💨 Airflow tutorial for PyCon 2019☆85Updated last year
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆143Updated 7 months ago
- (project & tutorial) dag pipeline tests + ci/cd setup☆85Updated 3 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- Guide on creating an API for serving your ML model☆65Updated 2 years ago
- Data Science Quick Tips Repository!☆48Updated 9 months ago
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆69Updated 2 years ago
- Airflow training for the crunch conf☆105Updated 6 years ago
- Capturing model drift and handling its response - Example webinar☆106Updated 5 years ago
- Build and deploy a serverless data pipeline on AWS with no effort.☆110Updated last year
- ☆83Updated last year
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆66Updated last year
- ☆43Updated last year
- ☆18Updated 3 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆44Updated 5 years ago
- Using AWS Lambda with Docker to deploy a deep learning model☆22Updated 3 years ago
- An example MLFlow project☆48Updated 2 years ago
- Pytest for Data Science Beginners☆58Updated 6 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆22Updated 5 months ago
- Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'☆118Updated last year
- Data Analysis Baseline Library☆131Updated last month
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆174Updated 4 months ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆111Updated 7 months ago
- Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related☆56Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 2 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆46Updated last year
- Load Testing ML Microservices for Robustness and Scalability☆14Updated 2 years ago