EthicalML / awesome-artificial-intelligence-regulationLinks
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
☆1,381Updated 3 weeks ago
Alternatives and similar repositories for awesome-artificial-intelligence-regulation
Users that are interested in awesome-artificial-intelligence-regulation are comparing it to the libraries listed below
Sorting:
- A curated list of articles that cover the software engineering best practices for building machine learning applications.☆1,325Updated last year
- Curated list of open source tooling for data-centric AI on unstructured data.☆733Updated 2 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆624Updated 2 years ago
- A curated list of awesome MLOps tools☆4,850Updated 4 months ago
- The Fuzzy Labs guide to the universe of open source MLOps☆473Updated 6 months ago
- CDF SIG MLOps☆629Updated 11 months ago
- Source code/webpage/demos for the What-If Tool☆982Updated 2 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆442Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,223Updated last year
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆872Updated 2 years ago
- Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT☆729Updated 3 years ago
- Full Stack Deep Learning Online Course☆907Updated 4 years ago
- XAI - An eXplainability toolbox for machine learning☆1,206Updated 4 years ago
- An ongoing list of pandas quirks☆981Updated 2 years ago
- A Python package to assess and improve fairness of machine learning models.☆2,161Updated this week
- Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources o…☆1,602Updated 2 weeks ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆297Updated last year
- Bias Auditing & Fair ML Toolkit☆737Updated last week
- A toolkit that streamlines and automates the generation of model cards☆440Updated 2 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆615Updated 3 years ago
- Collection of articles listing reasons why data science projects fail.☆464Updated 4 years ago
- Algorithms for explaining machine learning models☆2,583Updated last month
- A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.☆340Updated 2 years ago
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆2,045Updated 4 years ago
- Compilation of high-profile real-world examples of failed machine learning projects☆744Updated last year
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆19,604Updated this week
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,187Updated 2 years ago
- MLOps examples☆2,038Updated last year
- Interpretability and explainability of data and machine learning models☆1,746Updated 8 months ago
- Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable …☆1,662Updated 9 months ago