• fastai Documentation 🔴
  • Documentation for Developers
• fastai on GitHub
  • fastai (* current version *) 🔴
    • fastai v1: Launch Announcement
    • fastai_old (on GitHub) (old version)
• Data
  • fastai Datasets 🔴
  • Torrents
  • some fastai files (files, models, data)

• My Blog (Reshama Shaikh)
• Twitter: @reshamas

• Version 3 (Fall 2018 to Spring 2019):
  • Jeremy: Blog posts are welcome and recommended, but they mustn’t include the video until after the MOOC is released next year. Therefore, the blog posts need to stand alone and be useful without the video.

• Setup (Local, AWS) and FAQ Part 1 v3

• Jeremy's PyTorch Tutorial

• Version 2 (Fall 2017 to Spring 2018)
• Version 1 (Fall 2016 to Spring 2017)

• Fall 2017

• Directory of fastai and DL terms
• Solving the Most Common Errors
• Fastai FAQs for Beginners
• 30+ Best Practices
• Resources (Blogs Written by fastai Fellows / Research Papers, etc)
• Fastai Blog Posts (by Rachel Thomas & Jeremy Howard)
  • podcast with Jeremy Howard on fastai_v1 🔴
  • podcast with Rachel Thomas

• tmux on AWS
• Download data using Kaggle CLI
• Download data using Chrome and wget
• Jupyter Notebook Commands & Shortcuts
• How to Create a Keypair
• Copy Files from Local PC to Cloud PC

Summary of Cloud GPU Vendors (with billing)

• Paperspace setup
• AWS AMI GPU Setup
  • How to setup fastai in an Amazon AWS region without fastai AMI like in Europe
• Crestle
• Google Cloud GPU Setup for fastai
• Set up personal deep learning box (home computer)
• Microsoft Azure
• Running fast.ai notebooks with Amazon SageMaker
• Docker
  • Paperspace Docker Container
  • Fastai and Docker
• manual: bash script for setup
  • the CUDA drivers
  • Anaconda (special Python distribution)
  • Python libraries
  • fastai library
  • courses
  • data
• Other
  • FloydHub
    • https://github.com/YuelongGuo/floydhub.fast.ai
  • Google Colaboratory
  • Salamander

• Publish notebooks as Github gists with a single button click!
• Tips for building large image datasets