davified / clean-code-ml
Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
☆709Updated 2 years ago
Related projects: ⓘ
- Collection of articles listing reasons why data science projects fail.☆457Updated 3 years ago
- An ongoing list of pandas quirks☆936Updated last year
- The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process …☆470Updated 3 years ago
- Production Data Science: a workflow for collaborative data science aimed at production☆453Updated 4 years ago
- Data Analysis Baseline Library☆724Updated last month
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆1,869Updated 3 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆840Updated last year
- Extra blocks for scikit-learn pipelines.☆1,251Updated last week
- Predictive Power Score (PPS) in Python☆1,097Updated 6 months ago
- The Fuzzy Labs guide to the universe of open source MLOps☆441Updated 2 months ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆540Updated last year
- A curated list of awesome posts, videos, and articles on leading a data team (small and large)☆516Updated 8 months ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆493Updated 2 months ago
- Companion repository for the book Building Machine Learning Powered Applications☆646Updated last year
- Feature engineering package with sklearn like functionality☆1,857Updated last week
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,245Updated last month
- ☆703Updated 2 years ago
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson☆583Updated last year
- Source code/webpage/demos for the What-If Tool☆905Updated last week
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …☆233Updated 4 years ago
- Natural Intelligence is still a pretty good idea.☆792Updated 2 months ago
- A curated list of articles that cover the software engineering best practices for building machine learning applications.☆1,224Updated 5 months ago
- Algorithms for outlier, adversarial and drift detection☆2,206Updated last month
- Code and files to go along with CS329s machine learning model deployment tutorial.☆595Updated last year
- ☆24Updated 3 months ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,292Updated 2 months ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆2,893Updated last month
- Data Quality assessment with one line of code☆422Updated this week
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…☆316Updated last month
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆604Updated last month