Data-Centric-AI-Community / awesome-data-centric-ai
Open-Source Software, Tutorials, and Research on Data-Centric AI π€
β322Updated 11 months ago
Related projects β
Alternatives and complementary repositories for awesome-data-centric-ai
- Data Quality assessment with one line of codeβ426Updated 2 weeks ago
- Curated list of open source tooling for data-centric AI on unstructured data.β701Updated last year
- Frouros: an open-source Python library for drift detection in machine learning systems.β194Updated 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¦β319Updated this week
- Resources for Data Centric AIβ1,101Updated 11 months ago
- OmniXAI: A Library for eXplainable AIβ876Updated 3 months ago
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β254Updated 2 years ago
- β Eurybia monitors model drift over time and securizes model deployment with data validationβ205Updated 3 weeks ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.β100Updated 7 months ago
- Tutorials for YData's Fabric platformβ32Updated this week
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.β127Updated 11 months ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profilβ¦β64Updated 6 months ago
- The Fuzzy Labs guide to the universe of open source MLOpsβ449Updated 4 months ago
- Streamline scikit-learn model comparison.β146Updated last year
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadβ¦β591Updated 6 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are lookβ¦β418Updated 3 months ago
- π² A curated list of MLOps projects, tools and resourcesβ183Updated 6 months ago
- Online machine learning resourcesβ500Updated 2 months ago
- Editing machine learning models to reflect human knowledge and valuesβ123Updated last year
- Fast SHAP value computation for interpreting tree-based modelsβ522Updated last year
- Tutorials on creating a reproducible and maintainable data science projectβ138Updated 2 years ago
- π€ A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!β257Updated 3 weeks ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β248Updated last month
- Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in productioβ¦β70Updated 11 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.β567Updated 5 months ago
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to sβ¦β688Updated 2 weeks ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...β383Updated 2 years ago
- β36Updated last year
- A curated list of awesome academic research, books, code of ethics, data sets, institutes, newsletters, principles, podcasts, reports, toβ¦β55Updated this week
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and β¦β37Updated 2 years ago