data-quality

18 projets partagent ce topic GitHub

Les traits relient les membres réellement apparentés entre eux. La taille des points suit les étoiles.

🧬 Membres

Learn how to develop, deploy and iterate on production-grade ML applications.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context…

fg-data-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning…

Refine high-quality datasets and visual AI models

Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any…

The Open Source Feature Store for AI/ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility…

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Feathr – A scalable, unified data and AI engineering platform for enterprise

Scalable data pre processing and curation toolkit for LLMs

Automatically find issues in image datasets and practice data-centric computer vision.

Open-source ETL/ELT on DuckDB. Write, wire, or draw one pipeline: 350+ components, 160+ connectors, dbt, CDC,…

Compilation of high-profile real-world examples of failed machine learning projects

Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool

mega-data-factory

🏭 Mega Scale Multimodal DataPipeline for SOTA Foundation Models

🔗 Familles voisines

data-engineering 36 mlops 103 data-profiling 5 data-centric-ai 8 data-curation 7 data-validation 5 ray 14 exploratory-data-analysis 7

Mesuré à partir des topics GitHub communs aux deux projets, pondérés par leur rareté.