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16 search results found

Ydata Profiling ⭐ 11,983

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

Feast ⭐ 5,053

Feature Store for Machine Learning

Mlops Course ⭐ 2,427

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

Awesome Data Centric Ai ⭐ 282

Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖

Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)

Great_expectations_action ⭐ 68

A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.

Librería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co

Awesome Python For Data Science ⭐ 51

A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! 📊

BikeDNA: Bicycle Infrastructure Data & Network Assessment

Ml_observability_course ⭐ 38

Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.

Mms_benchmark ⭐ 14

The most extensive open massively multilingual corpus of datasets for training sentiment models. The corpus consists of 79 manually selected from over 350 datasets reported in the scientific literature based on strict quality criteria and covers 27 languages.

Iau Course ⭐ 12

Intelligent Data Analysis (IAU_B) @ FIIT STU in Bratislava

Hands On Great Expectations With Spark ⭐ 12

How to evaluate the Quality of your Data with Great Expectations and Spark.

Data Suite ⭐ 5

Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)

Geoscience Data Quality For Machine Learning ⭐ 5

Looking at the problems associated with geoscience datasets for data science

Data Imputation Paper ⭐ 5

Research code for the paper "A Benchmark for Data Imputation Methods".

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