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-0.0.9.tar.gz (43.7 MB view details)

Uploaded Source

Built Distribution

wwf-0.0.9-py2-none-any.whl (22.4 kB view details)

Uploaded Python 2

File details

Details for the file wwf-0.0.9.tar.gz.

File metadata

  • Download URL: wwf-0.0.9.tar.gz
  • Upload date:
  • Size: 43.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.6.1 requests/2.23.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/2.7.17

File hashes

Hashes for wwf-0.0.9.tar.gz
Algorithm Hash digest
SHA256 f9745f23259b09ad11420b1387acbed65ec050f479e0d1761963d0332a1f93c2
MD5 688e9929814d4ca06c168a299e9c7486
BLAKE2b-256 90d23c859d822438f1187b2840fd0fa253742be6bee9d7599d6093ad05dcfd7a

See more details on using hashes here.

File details

Details for the file wwf-0.0.9-py2-none-any.whl.

File metadata

  • Download URL: wwf-0.0.9-py2-none-any.whl
  • Upload date:
  • Size: 22.4 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.6.1 requests/2.23.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/2.7.17

File hashes

Hashes for wwf-0.0.9-py2-none-any.whl
Algorithm Hash digest
SHA256 7e956c41a05fd9529bd8e2f4b66689089303d2abff9e1bd49a8a1eb40f897964
MD5 00dea927cd6b138436cf0395fdd4381e
BLAKE2b-256 940c1ea6a86bdc83d38d371a913171f4373ededac4c08cd2ed0be12db53ad692

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