Skip to main content

A highly accelerated, backprop-free Decoupled Analytical Dense (DAD) target propagation training engine on top of PyTorch.

Project description

The author of this package has not provided a project description

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

torch_dad-0.1.0.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

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

torch_dad-0.1.0-py3-none-any.whl (5.1 kB view details)

Uploaded Python 3

File details

Details for the file torch_dad-0.1.0.tar.gz.

File metadata

  • Download URL: torch_dad-0.1.0.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.18

File hashes

Hashes for torch_dad-0.1.0.tar.gz
Algorithm Hash digest
SHA256 63e0e16f820bad44c2a053a6221020557deee6336f8ba2ebca065cc206e3745c
MD5 3cda16f7578d5ce48971fc0dfa812d33
BLAKE2b-256 8c0d9a460503f6293b482954811f8d7802ce0a53f770ab3beec171d66b8e5e15

See more details on using hashes here.

File details

Details for the file torch_dad-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: torch_dad-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 5.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.18

File hashes

Hashes for torch_dad-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2eab9c14bc7ffa47b77f6e0ae1a7fd05af084687eed73dfc230f7353336f2574
MD5 29e9718b5bb49017b180b8cdd655e865
BLAKE2b-256 b82d0cbea9fc83956e24dde20c4c6ddaf11136b7911f0eb9fdeaad577a805d4c

See more details on using hashes here.

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