Skip to main content

The npfl138 Package: Modules Used in the Deep Learning Course (NPFL138)

This package contains the modules used in the Deep Learning course (NPFL138), available under the Mozilla Public License 2.0.

The documentation of the package can be found here.

Metadata

Release files for npfl138 2526.14.0

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

Source distribution (sdist)

Source distribution for npfl138 2526.14.0
File Size Uploaded
npfl138-2526.14.0.tar.gz 73.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for npfl138 2526.14.0
File Interpreter ABI Platform
npfl138-2526.14.0-py3-none-any.whl Python 3 none any Details

Total release size: 198.4 kB

Release files / npfl138-2526.14.0.tar.gz

Download URL npfl138-2526.14.0.tar.gz
Size 73.3 kB
Tags Source
SHA-256 checksum
How to use checksums
d50c1e9ea081d8513cdf4e7f1f24efa13288d5609147b049267e10acd4eca466
BLAKE2b-256 checksum
How to use checksums
6cc9ecbdb7f27182409b8566302178b7f2574ae65ee98cb69e77c8187fb82862
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 21, 2026.

Transparency log

Release files / npfl138-2526.14.0-py3-none-any.whl

Download URL npfl138-2526.14.0-py3-none-any.whl
Size 125.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
08389102f5bfda80f063b8f0cdb7ed3142e64a5322bf4f00b84a05225ffa1486
BLAKE2b-256 checksum
How to use checksums
ed5754a7be19b31eccf12a6399252f6d778671477386b050570f0d8dce4795df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 21, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

2526.14.0 This release

2 release files

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