Skip to main content

Abstractions for AIMedic's training pipeline

Abstractions for main components in AIMedic's tensorflow-based projects.

Guide

Plz don't be lazy and readthedocs! :)

Metadata

Release files for abstractions-aimedic 0.1.15

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

Source distribution (sdist)

Source distribution for abstractions-aimedic 0.1.15
File Size Uploaded Provenance
abstractions-aimedic-0.1.15.tar.gz 26.2 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for abstractions-aimedic 0.1.15
File Interpreter ABI Platform
abstractions_aimedic-0.1.15-py3-none-any.whl Python 3 none any Details

Total release size: 57.6 kB

Release files / abstractions-aimedic-0.1.15.tar.gz

Download URL abstractions-aimedic-0.1.15.tar.gz
Size 26.2 kB
Tags Source
SHA-256 checksum
How to use checksums
31fc2d24ec14b935c34dcebb198aeba73a1bcdcd70508f479adf0554c65fa10a
BLAKE2b-256 checksum
How to use checksums
45534f6fe97e22d5136570ed0713e63c296dc0e6cb1d162b6d1b58fad43d08bd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.5

Release files / abstractions_aimedic-0.1.15-py3-none-any.whl

Download URL abstractions_aimedic-0.1.15-py3-none-any.whl
Size 31.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9c4739187db2042fc6a4972a68f7367b50b329b8a0e5126b6c557789a7ed8295
BLAKE2b-256 checksum
How to use checksums
13d334c8863ecf421fb76ea85f8c6a89e12f0066ff645fe2e2bb74ec58bd1bd7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.5

Security for abstractions-aimedic 0.1.15

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

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