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What is examples?

colesbury/examples — explained in plain English

Analysis updated 2026-07-17 · repo last pushed 2019-06-17

★ 3PythonAudience · researcherComplexity · 2/5DormantSetup · easy

In one sentence

A cookbook of simple, runnable PyTorch example projects covering image recognition, language modeling, and generative AI for learning by doing.

Mindmap

mindmap
  root((repo))
    What it does
      Runnable PyTorch examples
      Cookbook-style learning
      Self-contained tasks
    Tech stack
      Python
      PyTorch
    Use cases
      Learn image recognition
      Study language modeling
      Try generative models
    Audience
      Students
      Career switchers
      Developers learning ML
    Design goals
      Clarity over performance
      Easy to adapt

Code map

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What do people build with it?

USE CASE 1

Study a runnable example of image classification, like recognizing handwritten digits.

USE CASE 2

Learn how language models predict the next word or compare sentence meaning.

USE CASE 3

Train a simple game-playing AI or a generative model to see machine learning concepts in action.

What is it built with?

PythonPyTorch

How does it compare?

colesbury/examples0marildo/imago100/geotwitter
Stars333
LanguagePythonPythonPython
Last pushed2019-06-17—2015-09-10
MaintenanceDormant—Dormant
Setup difficultyeasyeasymoderate
Complexity2/52/53/5
Audienceresearchergeneralgeneral

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

Requires Python and PyTorch installed, examples are meant to run with minimal extra setup.

No license info given in the explanation.

Copy-paste prompts

Prompt 1
Walk me through one of these PyTorch examples and explain what each part of the code does.
Prompt 2
Help me modify the image classification example to work with my own dataset.
Prompt 3
Compare the generative model example here to the language modeling example, what's different about how they train?

Frequently asked questions

What is examples?

A cookbook of simple, runnable PyTorch example projects covering image recognition, language modeling, and generative AI for learning by doing.

What language is examples written in?

Mainly Python. The stack also includes Python, PyTorch.

Is examples actively maintained?

Dormant — no commits in 2+ years (last push 2019-06-17).

What license does examples use?

No license info given in the explanation.

How hard is examples to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is examples for?

Mainly researcher.

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