Skip to main content

A Python Framework for eIQ on i.MX Processors

pip3 PyPI version GitHub issues Gitter

PyeIQ is written on top of eIQ™ ML Software Development Environment and provides a set of Python classes allowing the user to run Machine Learning applications in a simplified and efficiently way without spending time on cross-compilations, deployments or reading extensive guides.

For further details: PyeIQ Page.

Metadata

Release files for eiq 1.0.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for eiq 1.0.7
File Size Uploaded
eiq-1.0.7.tar.gz 30.3 kB Details

Release files / eiq-1.0.7.tar.gz

Download URL eiq-1.0.7.tar.gz
Size 30.3 kB
Tags Source
SHA-256 checksum
How to use checksums
d7c6631695e3938985b1ba55d6faabbd180e14d301a5a5f587b781e556769663
BLAKE2b-256 checksum
How to use checksums
50ea0e089bc399ced589c4b3113f17f3cffe3550985a8f5a2e980412021822b1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2

Release history Release notifications | RSS feed

2.2.0

1 release file

2.1.0

1 release file

2.0.1

1 release file

2.0.0

1 release file

1.0.12

1 release file

1.0.11

1 release file

1.0.10

1 release file

1.0.9

1 release file

1.0.8

1 release file

This release

1.0.7 This release

1 release file

1.0.6

1 release file

1.0.5

1 release file

1.0.4

1 release file

1.0.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page