Data Centric Ai Python Packages

fiftyone-db

Refine high-quality datasets and visual AI models

fiftyone

Refine high-quality datasets and visual AI models

cleanlab

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

cleanvision

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

cleanlab-studio

Client interface to Cleanlab Studio

goldener

Goldener - Make your data even more valuable

fiftyone-db-ubuntu2204

Refine high-quality datasets and visual AI models

hyperview

HyperView curates datasets and provides model introspection in hyperbolic and Euclidean geometries.

fiftyone-desktop

Refine high-quality datasets and visual AI models

selfclean

[NeurIPS 2024] 🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.

opendataval

OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)

pydvl

pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

cleanlab-cli

Client interface to Cleanlab Studio

labeller

Quickly set up an image labelling web application for manually tagging images for machine learning tasks.

example-package-elisno

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

fiftyone-db-debian9

Refine high-quality datasets and visual AI models

docta-ai

A Doctor for your data

bambird

Unsupervised classification to improve the quality of a bird song recording dataset. https://doi.org/10.1016/j.ecoinf.2022.101952

fiftyone-db-ubuntu2004

Refine high-quality datasets and visual AI models

fiftyone-db-rhel7

Refine high-quality datasets and visual AI models

fiftyone-db-ubuntu1604

Refine high-quality datasets and visual AI models

ws-benchmark

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark