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-1.0.10.tar.gz (19.1 kB view details)

Uploaded Source

File details

Details for the file paper-candy-1.0.10.tar.gz.

File metadata

  • Download URL: paper-candy-1.0.10.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-1.0.10.tar.gz
Algorithm Hash digest
SHA256 e9c1d9bdbf9f754b7a4546a5ff1792543d19845e73d04094fb0185be689e16dc
MD5 d8950a54bb962b1de83fe5a81e07d759
BLAKE2b-256 2b617bb9b3eb0d65138014ef319a685702769e5f13e3465b27960bc30c423a2f

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