Skip to main content

A loosely coupled lightweight framework for deep learning papers.

Project description

PaperCandy is a loosely coupled lightweight framework for deep learning papers. It provides a series of auxiliary tools for rapid rebuilding and writing papers. So far support PyTorch as the only front-end framework.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

paper-candy-1.0.8.tar.gz (19.1 kB view details)

Uploaded Source

File details

Details for the file paper-candy-1.0.8.tar.gz.

File metadata

  • Download URL: paper-candy-1.0.8.tar.gz
  • Upload date:
  • Size: 19.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.1

File hashes

Hashes for paper-candy-1.0.8.tar.gz
Algorithm Hash digest
SHA256 9599fe8d5bacc32f47f3fc2806d3adf6fc4a025de348cf9991a03f05e61d4b8d
MD5 01960fff5c21a7c68a4d416bd5116945
BLAKE2b-256 903fc2ae598f50998b7bf7a7516b256607feecf2efdf0dac467aae7651d8c33c

See more details on using hashes here.

Supported by

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