davified / clean-code-mlLinks
Clean Code concepts adapted for machine learning and data science. Now a free video series π https://bit.ly/2yGDyqT
β725Updated 3 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:
- The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process β¦β510Updated 4 years ago
- An ongoing list of pandas quirksβ969Updated 2 years ago
- Collection of articles listing reasons why data science projects fail.β464Updated 4 years ago
- Production Data Science: a workflow for collaborative data science aimed at productionβ453Updated 5 years ago
- π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)β606Updated 2 years ago
- Template repository for data science lifecycle projectβ194Updated 4 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ865Updated 2 years ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β183Updated 11 months ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshopβ¦β320Updated 10 months ago
- Source code accompanying O'Reilly book: Machine Learning Design Patternsβ2,007Updated 4 years ago
- β24Updated last year
- CDF SIG MLOpsβ626Updated 6 months ago
- Data Analysis Baseline Libraryβ727Updated 6 months ago
- TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project β¦β558Updated 4 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"β136Updated last year
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β147Updated last year
- The Fuzzy Labs guide to the universe of open source MLOpsβ466Updated last month
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and bβ¦β1,336Updated 5 months ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, β¦β681Updated last year
- β704Updated 2 years ago
- Monitor the stability of a Pandas or Spark dataframe βοΈβ503Updated 4 months ago
- Extra blocks for scikit-learn pipelines.β1,344Updated last week
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β264Updated 2 years ago
- Bias Auditing & Fair ML Toolkitβ722Updated last month
- β86Updated 6 years ago
- python partial dependence plot toolboxβ856Updated 9 months ago
- Basic and advanced MLflow examples for many ML flavorsβ226Updated 11 months ago
- MLOps tutorial using Python, Docker and Kubernetes.β395Updated 8 months ago
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelsonβ595Updated 2 years ago
- Doubt your data, find bad labels.β513Updated 11 months ago