#1919th of 23 in Learning and cookbooks

fastbook

Jupyter notebooks for the fastai and PyTorch deep learning book and course

Documentation ↗ Website ↗ Repository on GitHub ↗

Stars: 25.4k
License: custom license
Last commit: Sep 2026
Last release: Apr 2022
Language: Jupyter Notebook

Missed the latest GitHub check; these facts may be older.

Overview

The notebooks behind "Deep Learning for Coders with fastai and PyTorch", covering 20 chapters from a Jupyter intro through image classification, tabular, NLP and collaborative filtering to ResNets, optimizers, GradCAM and building a Learner from scratch. They also serve as the material for the fast.ai MOOC. Each chapter opens in Google Colab, so no local setup is needed.

Who it is for: Programmers learning deep learning with fastai and PyTorch

Strengths

Runs in Google Colab from per-chapter links, no local Python setup required
Covers 20 chapters, from basic classifiers to writing a Learner from scratch
Tied to a published O'Reilly book and the fast.ai MOOC
Code is GPL v3, and the repo still receives commits

Weaknesses

Prose and markdown cells are not licensed for redistribution or commercial use
Teaches fastai and PyTorch; README mentions no LLM or agent content
Last tagged release is from 2022-04
Pull requests assign copyright to the authors

What it needs

Needs fastai, PyTorch, Jupyter, Google Colab (optional)

Also in Learning and cookbooks

See all 23

Also in Learning and cookbooks
Rank	Project	Score
1	ai-engineering-from-scratchHands-on AI engineering curriculum with 542 lessons across 20 phases69.1k starsMIT	85 out of 100
2	generative-ai-for-beginners21-lesson course on building generative AI apps in Python and TypeScript121.4k starsMIT	81 out of 100
3	hello-agentsChinese-language course on building LLM agents from scratch83.1k starscustom license	77 out of 100
#4	llms-from-scratchCode for the book on building a GPT-style LLM in PyTorch106.5k starscustom license	76 out of 100
#5	ai-agents-for-beginners18-lesson course on building AI agents with Microsoft Agent Framework77.2k starsMIT	76 out of 100

How to choose

Check the date: guides older than a year often use APIs that changed.
Prefer material with runnable notebooks or repos over slides.
Pick by level: curricula start from zero, cookbooks assume you already build.

Health

Releases: Not checked
Top contributor: Not checked
Security advisories: Not checked
Package advisories: Not checked
OpenSSF Scorecard: Not checked

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License in plain words

custom license Custom terms

Use it at work: Check
Change it and rebrand it: Check
Sell it or host it for others: Check

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#19 of 23 in Learning and cookbooks on Archestack, as of 15 Oct 2026.

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