Skip to main content

The source code host for walkwithfastai.com

Project description

Walk with fastai

What is this project?

Welcome to Walk with fastai! This project was started by me (Zachary Mueller) as a way to collect interesting techniques dotted throughout the fast.ai forums, my own course materials, and the fantastic work of others into one centralized place.

The goal is to have something much more than a "fastai recipe book," where instead authors can explore in-depth into topics involving the usage of the fastai library.

There is a central framework and theme for each super chapter, as you can see in the Table of Contents menu at the top of this screen. Topics are broken down by their super topic, such as:

  • Vision
    • Classification
      • Single Label

These collection of articles can be as simple as showing a few lines of code for a use-case, to as advanced as introducing and explaining a topic.

At the end of the day, I want this site to be a nice resource for folks to look up quickly how to do XYZ technique inside the library, that perhaps isn't 100% integrated or supported in the library's current status.

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

wwf-0.0.4.tar.gz (10.7 kB view details)

Uploaded Source

Built Distribution

wwf-0.0.4-py3-none-any.whl (10.8 kB view details)

Uploaded Python 3

File details

Details for the file wwf-0.0.4.tar.gz.

File metadata

  • Download URL: wwf-0.0.4.tar.gz
  • Upload date:
  • Size: 10.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.2.0.post20200511 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for wwf-0.0.4.tar.gz
Algorithm Hash digest
SHA256 745db897f52eb409639541ae8fac1bf6eacd6ba82aa4a73b3fb6211bc967db65
MD5 9dab96958f257b4c31a19ada5a802702
BLAKE2b-256 127398caf3c5b27720b932d3dd8630ceddcdd64a1ef6475b09b6cb7d086c8e14

See more details on using hashes here.

File details

Details for the file wwf-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: wwf-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 10.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.2.0.post20200511 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for wwf-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 79eef25e566e56a99fbe78d3bb6e2277f462eda779577bc245a956335b05730a
MD5 bf1e1a7bc44910439421b59faede507d
BLAKE2b-256 41e86e53d715b1b33cd074ce6bff4b6d1e75ad4f09e43fde89b1946c6d1e4cef

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