hypaTorch

Highly Abstract Compound Networks in PyTorch

This python package provides a flexible and comprehensive framework for creating compound PyTorch models in an abstract manner.

Installation

uv add hypatorch

Acknowledgements

Project links

Data verified by PyPI on Sep 2, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for PaKr from gravatar.com PaKr Avatar for timo_at_altavo from gravatar.com timo_at_altavo

Credits

Author: Altavo GmbH

GitHub Statistics

Data verified by PyPI on Sep 2, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

Requires

Python >=3.11

Provides Extra

mlflow wandb

Classifiers

Report project as malware

Download files

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

Source Distribution

hypatorch-1.0.9.tar.gz (430.8 kB view details)

Uploaded Source

Built Distribution

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

hypatorch-1.0.9-py3-none-any.whl (30.6 kB view details)

Uploaded Python 3

File details

Details for the file hypatorch-1.0.9.tar.gz.

File metadata

  • Download URL: hypatorch-1.0.9.tar.gz
  • Upload date:
  • Size: 430.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for hypatorch-1.0.9.tar.gz
Algorithm Hash digest
SHA256 2927a4b607473224949e803fe23f43f06db7a8ee02145050a944e4e79daff861
MD5 5b77b9d70fe65195c78412a2fd31f457
BLAKE2b-256 f583fe8ae3f152976c50f6de65966f6856a4e3a782e64bded10a60432f70ea6c

See more details on using hashes here.

Provenance

The following attestation bundles were made for hypatorch-1.0.9.tar.gz:

Publisher: publish.yml on Altavo/hypatorch

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file hypatorch-1.0.9-py3-none-any.whl.

File metadata

  • Download URL: hypatorch-1.0.9-py3-none-any.whl
  • Upload date:
  • Size: 30.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for hypatorch-1.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 4a1ff1620079fe52f94f2abd5bb9dcc57dcee0ccf2997e309fcfb9e61dec0193
MD5 5dc3f015ea9a8571a6b85cf1784a154b
BLAKE2b-256 38efc5736a216669f9394513da1e4fd6959edf4f97ff968eeed901a483deb2d2

See more details on using hashes here.

Provenance

The following attestation bundles were made for hypatorch-1.0.9-py3-none-any.whl:

Publisher: publish.yml on Altavo/hypatorch

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

This release

1.0.9 This release

2 files

1.0.8

2 files

1.0.7

2 files

1.0.6

2 files

1.0.5

2 files

1.0.4

2 files

1.0.3

2 files

1.0.1

2 files

0.2.14

2 files

0.2.13

2 files

0.2.12

2 files

0.2.11

2 files

0.2.10

2 files

0.2.9

2 files

0.2.8

2 files

0.2.7

2 files

0.2.6

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.1

2 files

0.1.0

2 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