EthicalML / awesome-artificial-intelligence-regulationLinks
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
☆1,350Updated 6 months 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.☆1,300Updated last year
- Curated list of open source tooling for data-centric AI on unstructured data.☆722Updated last year
- XAI - An eXplainability toolbox for machine learning☆1,194Updated 3 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆615Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOps☆471Updated 2 months ago
- CDF SIG MLOps☆625Updated 8 months ago
- Full Stack Deep Learning Online Course☆901Updated 3 years ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆439Updated 11 months ago
- A Python package to assess and improve fairness of machine learning models.☆2,109Updated last week
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆868Updated 2 years ago
- Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable …☆1,595Updated 6 months ago
- A toolkit that streamlines and automates the generation of model cards☆436Updated 2 years ago
- Source code/webpage/demos for the What-If Tool☆966Updated 10 months ago
- A curated list of awesome MLOps tools☆4,661Updated 3 weeks ago
- An ongoing list of pandas quirks☆974Updated 2 years ago
- A curated list of awesome responsible machine learning resources.☆3,842Updated this week
- Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT☆727Updated 3 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,171Updated 11 months ago
- Bias Auditing & Fair ML Toolkit☆727Updated 2 months ago
- Algorithms for explaining machine learning models☆2,540Updated last month
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,173Updated 2 years ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆292Updated 9 months ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆608Updated 2 years ago
- Interpretability and explainability of data and machine learning models☆1,714Updated 5 months ago
- Compilation of high-profile real-world examples of failed machine learning projects☆732Updated last year
- Source for https://fullstackdeeplearning.com☆1,248Updated 3 months ago
- Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources o…☆1,566Updated 3 weeks ago
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆2,019Updated 4 years ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆116Updated last year
- Lab materials for the Full Stack Deep Learning Course☆1,212Updated 3 years ago