1. Data quality analysis
  2. Apache License 2.0
  3. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 1 - 9 of 9
data-validation by tensorflow


Library for exploring and validating machine learning data
whylogs by whylabs


The open source standard for data logging
amundsen by amundsen-io


Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
text by tensorflow


Making text a first-class citizen in TensorFlow.
AIF360 by Trusted-AI


A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
gluon-nlp by dmlc


NLP made easy
AIX360 by Trusted-AI


Interpretability and explainability of data and machine learning models
deequ by awslabs


Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
facets by PAIR-code


Visualizations for machine learning datasets