whiteboxml / teaching-ml-in-production
☆54Updated 2 years ago
Alternatives and similar repositories for teaching-ml-in-production:
Users that are interested in teaching-ml-in-production are comparing it to the libraries listed below
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 3 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆102Updated 3 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- Dockerized ML Cookiecutter☆73Updated 2 years ago
- General Interpretability Package☆58Updated 2 years ago
- 🎯 kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learning☆32Updated 2 years ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- ☆154Updated 4 years ago
- Production Machine Learning Pipeline for Text Classification with fastText☆32Updated 3 years ago
- Best practices for engineering ML pipelines.☆35Updated 2 years ago
- ☆102Updated last year
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- The fast.ai data ethics course☆15Updated 2 years ago
- This project is created to promote and advocate the use of FOSS machine learning.☆43Updated 2 weeks ago
- 🍦 Deployment tool for online machine learning models☆97Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆165Updated 2 months ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆77Updated last year
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- ☆43Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- 🐍💨 Airflow tutorial for PyCon 2019☆86Updated 2 years ago
- python library for automated dataset normalization☆114Updated last year
- Python package for Bayesian Tests / AB Testing☆40Updated 4 years ago
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆151Updated last year
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Code demonstrating a simple Machine Learning model abstract base class and its uses.☆14Updated last year
- This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…☆39Updated last year