Skip to main content

Adapting cosmology datasets for AI

Project description

adaptic

Adapting cosmology datasets for AI uses.

Broadly, adaptic is a package that provides lightweight wrappers for some cosmology datasets for AI use. For example, code is provided to load DESI data from a public data release using PyTorch that handles minor nuisance tasks at the same time (like coadding across camera arms).

The wrappers in adaptic are designed to be used either by installing the entire package or by copy pasting the individual wrapper files into your project. For the DESI example, this would be the adaptic/desi.py file.

Project details


Download files

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

Source Distribution

adaptic-0.0.1.tar.gz (7.8 kB view details)

Uploaded Source

Built Distribution

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

adaptic-0.0.1-py3-none-any.whl (8.1 kB view details)

Uploaded Python 3

File details

Details for the file adaptic-0.0.1.tar.gz.

File metadata

  • Download URL: adaptic-0.0.1.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for adaptic-0.0.1.tar.gz
Algorithm Hash digest
SHA256 22e7e52f5b2ea98140ea706d56b6db57028fa5f0179e23656e40490f18258e04
MD5 bcf611018547c5d5f03d7451d0d14457
BLAKE2b-256 1bbfc854c1c553eb102e872e0809e523862b5d742455d89bbb275971ba765089

See more details on using hashes here.

Provenance

The following attestation bundles were made for adaptic-0.0.1.tar.gz:

Publisher: publish.yaml on CosmoFoundry/adaptic

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

File details

Details for the file adaptic-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: adaptic-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 8.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for adaptic-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b1714c856b7f199a0eb3783339c63cb46444bef7de97c51aab64a8dcbf725f23
MD5 cbc98b10916f25e1a15d77f0affcc1c2
BLAKE2b-256 f965bfe73e2e908e40e333e4593d95b93b9017d5398e06dba605dc7167c43476

See more details on using hashes here.

Provenance

The following attestation bundles were made for adaptic-0.0.1-py3-none-any.whl:

Publisher: publish.yaml on CosmoFoundry/adaptic

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

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page