Skip to main content

Causal DL: A Python Package for Causal Inference with Deep Learning

This is a spin off project from the Causal ML project.

Metadata

Release files for causaldl 0.0.1

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

Source distribution (sdist)

Source distribution for causaldl 0.0.1
File Size Uploaded Provenance Actions
causaldl-0.0.1.tar.gz 11.1 kB Without provenance Details for causaldl-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for causaldl 0.0.1
File Interpreter ABI Platform Actions
causaldl-0.0.1-py3-none-any.whl Python 3 none any Details for causaldl-0.0.1-py3-none-any.whl

Total release size: 22.6 kB

Release files / causaldl-0.0.1.tar.gz

Download URL causaldl-0.0.1.tar.gz
Size 11.1 kB
Tags Source
SHA-256 checksum
How to use checksums
762832a69f63ff252cf1961ee9d26be30e6df19ef223ff905bcb10d1e4e6c9f5
BLAKE2b-256 checksum
How to use checksums
3f51dfc24f0fbfeb07980a2e57590f51f51e2e892475312caf177fb9a28e2892
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.18

Release files / causaldl-0.0.1-py3-none-any.whl

Download URL causaldl-0.0.1-py3-none-any.whl
Size 11.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5c3b2cd5305aebd32c4313835102de371b1fae0df5c5601fbec99b874f7bed26
BLAKE2b-256 checksum
How to use checksums
ad5a4dfa045369f6666ad71a99f60868a6bcd318c3fd79416d2fda3299f25384
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.18

Security for causaldl 0.0.1

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.

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files No provenance

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