Data-Centric-AI-Community / awesome-data-centric-aiLinks
Open-Source Software, Tutorials, and Research on Data-Centric AI π€
β342Updated last year
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.β733Updated last year
- Frouros: an open-source Python library for drift detection in machine learning systems.β235Updated 2 weeks ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profilβ¦β90Updated last year
- Data Quality assessment with one line of codeβ452Updated last month
- β Eurybia monitors model drift over time and securizes model deployment with data validationβ214Updated this week
- Data search & enrichment library for Machine Learning β Easily find and add relevant features to your ML & AI pipeline from hundreds of pβ¦β349Updated 2 weeks ago
- Streamline scikit-learn model comparison.β143Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOpsβ473Updated 5 months ago
- Compilation of high-profile real-world examples of failed machine learning projectsβ744Updated last year
- OmniXAI: A Library for eXplainable AIβ955Updated last year
- Tutorials on creating a reproducible and maintainable data science projectβ149Updated 3 years ago
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β263Updated 3 years ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.β118Updated last year
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are lookβ¦β442Updated last year
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.β133Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β255Updated last year
- β39Updated 2 years ago
- π² A curated list of MLOps projects, tools and resourcesβ185Updated last year
- Editing machine learning models to reflect human knowledge and valuesβ126Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packtβ246Updated this week
- Introduction to Data-Centric AI, MIT IAP 2024 π€β103Updated 4 months ago
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β150Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictionsβ313Updated 6 months ago
- Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 π©π½βπ»β476Updated 8 months ago
- Joining the modern data stack with the modern ML stackβ201Updated 2 years ago
- Synthetic data generators for structured and unstructured text, featuring differentially private learning.β665Updated 4 months ago
- Responsible AI knowledge baseβ108Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packtβ162Updated this week
- Fast SHAP value computation for interpreting tree-based modelsβ545Updated 2 years ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases witβ¦β49Updated 3 years ago