1. Data quality analysis
  2. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 11 - 20 of 24
gluon-nlp by dmlc


NLP made easy
DALEX by ModelOriented


moDel Agnostic Language for Exploration and eXplanation
plotly.py by plotly


The interactive graphing library for Python (includes Plotly Express) :sparkles:
jpmml-sklearn by jpmml


Java library and command-line application for converting Scikit-Learn pipelines to PMML
semantic by github


Parsing, analyzing, and comparing source code across many languages
pygal by Kozea


PYthon svg GrAph plotting Library
missingno by ResidentMario


Missing data visualization module for Python.
GEBI by AgaMiko


GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset
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.