davified / clean-code-mlLinks
Clean Code concepts adapted for machine learning and data science. Now a free video series π https://bit.ly/2yGDyqT
β730Updated 4 years ago
Alternatives and similar repositories for clean-code-ml
Users that are interested in clean-code-ml are comparing it to the libraries listed below
Sorting:
- Production Data Science: a workflow for collaborative data science aimed at productionβ457Updated 5 years ago
- β24Updated last year
- Collection of articles listing reasons why data science projects fail.β464Updated 4 years ago
- The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process β¦β523Updated 4 years ago
- An ongoing list of pandas quirksβ990Updated 2 years ago
- π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)β644Updated 2 years ago
- Data Science Project Templateβ140Updated 7 years ago
- Data Analysis Baseline Libraryβ727Updated last year
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ874Updated 2 years ago
- β87Updated 6 years ago
- TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project β¦β575Updated 5 years ago
- Companion repository for the book Building Machine Learning Powered Applicationsβ703Updated 2 years ago
- Template repository for data science lifecycle projectβ200Updated 5 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"β135Updated last year
- Code and files to go along with CS329s machine learning model deployment tutorial.β617Updated 3 years ago
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelsonβ608Updated 2 years ago
- Extra blocks for scikit-learn pipelines.β1,376Updated 2 weeks ago
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β265Updated 3 years ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β185Updated last year
- A curated list of awesome posts, videos, and articles on leading a data team (small and large)β546Updated last month
- β155Updated 5 years ago
- The Fuzzy Labs guide to the universe of open source MLOpsβ476Updated 8 months ago
- β708Updated 3 years ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshopβ¦β321Updated last year
- Alternate cross validation approach for ALS models with implicit ratings utilizing an expected percent ranking metric for model performanβ¦β24Updated 7 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, β¦β681Updated last year
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β152Updated last year
- scikit-learn sprint docsβ184Updated last year
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β210Updated 4 years ago
- Tutorial given at PyData LA 2018β97Updated last year