Data-Centric-AI-Community / awesome-data-centric-aiLinks
Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖
☆344Updated 2 years ago
Alternatives and similar repositories for awesome-data-centric-ai
Users that are interested in awesome-data-centric-ai are comparing it to the libraries listed below
Sorting:
- Curated list of open source tooling for data-centric AI on unstructured data.☆734Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOps☆476Updated 7 months ago
- Frouros: an open-source Python library for drift detection in machine learning systems.☆243Updated last month
- Data Quality assessment with one line of code☆452Updated last week
- OmniXAI: A Library for eXplainable AI☆959Updated last year
- Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…☆350Updated last month
- Compilation of high-profile real-world examples of failed machine learning projects☆743Updated last year
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆215Updated last month
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆134Updated 2 years ago
- Streamline scikit-learn model comparison.☆143Updated 3 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated last year
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆90Updated last year
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆118Updated last year
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆443Updated last year
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- Responsible AI knowledge base☆108Updated 2 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆265Updated 3 years ago
- Tutorials on creating a reproducible and maintainable data science project☆150Updated 3 years ago
- A curated list of awesome resources for creating synthetic data☆44Updated 3 years ago
- A simple guide to MLOps through ZenML and its various integrations.☆188Updated last year
- Online machine learning resources☆591Updated last year
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated last week
- Introduction to Data-Centric AI, MIT IAP 2024 🤖☆103Updated 5 months ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆254Updated this week
- Fast SHAP value computation for interpreting tree-based models☆549Updated 2 years ago
- 📖 A curated list of resources dedicated to synthetic data☆140Updated 3 years ago
- Editing machine learning models to reflect human knowledge and values☆128Updated 2 years ago
- Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in productio…☆98Updated 2 years ago
- Joining the modern data stack with the modern ML stack☆201Updated 2 years ago
- Experiments on Tabular Data Models☆281Updated 2 years ago