Skip to main content

A toolkit for processing data powered by PaddlePaddle, which include data augmentation, data cleaning and data annotation.

Project description

EasyData aims to create a universal, leading and practical data processing toolkit, that supports automatic data augmentation and cleaning, and provides data annotation tools and a collection of open source datasets to help developers obtain high-quality training and inference data more easily, thereby promoting the practical effect of AI algorithms.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

easydata_python-0.5.1-py3-none-any.whl (385.0 kB view details)

Uploaded Python 3

File details

Details for the file easydata_python-0.5.1-py3-none-any.whl.

File metadata

File hashes

Hashes for easydata_python-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a94a076540373d069db2ec531362716170b53f6ca800e5942ffc1f923a92944b
MD5 2924661baee902e7ec6c3499b5bca009
BLAKE2b-256 1b2b8d6923298054e5c3eda73d19e8489da9215a7ac163d74dec1ca3667df6e3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page