whiteboxml / teaching-ml-in-production
β54Updated 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
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.β101Updated 3 years ago
- π― kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learningβ32Updated 2 years ago
- Tutorial for a new versioning Machine Learning pipelineβ81Updated 3 years ago
- β154Updated 4 years ago
- This project is created to promote and advocate the use of FOSS machine learning.β44Updated 4 months ago
- The fast.ai data ethics courseβ14Updated last year
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stanβ¦β53Updated last year
- β Priceloop Engineering Conventions for Scala, Python, Git Workflow etcβ101Updated 2 years ago
- Best practices for engineering ML pipelines.β37Updated 2 years ago
- Automated Data Science and Machine Learning library to optimize workflow.β104Updated last year
- β43Updated 2 years ago
- General Interpretability Packageβ58Updated 2 years ago
- Dockerized ML Cookiecutterβ71Updated last year
- π¦ Deployment tool for online machine learning modelsβ97Updated 2 years ago
- MLOps simplified. One platform, all the functionality you need. Swiss madeβ97Updated last month
- Train multi-task image, text, or ensemble (image + text) modelsβ45Updated last year
- This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Beβ¦β39Updated last year
- Projects developed by Domino's R&D teamβ76Updated 2 years ago
- Concept drift monitoring for HA model servers.β101Updated last year
- A bit of extra usability for sqlalchemy v2.β77Updated 7 months ago
- PyData Global Tutorial on Data Patterns and OOP abstractions for Deep Learning using PyTorchβ16Updated last year
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ81Updated 3 years ago
- β101Updated last year
- ML model serving app based on APIsβ71Updated 3 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.β22Updated 7 months ago
- Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learningβ55Updated 5 years ago
- Guide on creating an API for serving your ML modelβ65Updated 2 years ago
- β59Updated 3 years ago
- β20Updated 7 months ago