colesbury/examples — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2019-06-17
Study a runnable example of image classification, like recognizing handwritten digits.
Learn how language models predict the next word or compare sentence meaning.
Train a simple game-playing AI or a generative model to see machine learning concepts in action.
| colesbury/examples | 0marildo/imago | 100/geotwitter | |
|---|---|---|---|
| Stars | 3 | 3 | 3 |
| Language | Python | Python | Python |
| Last pushed | 2019-06-17 | — | 2015-09-10 |
| Maintenance | Dormant | — | Dormant |
| Setup difficulty | easy | easy | moderate |
| Complexity | 2/5 | 2/5 | 3/5 |
| Audience | researcher | general | general |
Figures from each repo's GitHub metadata at analysis time.
Requires Python and PyTorch installed, examples are meant to run with minimal extra setup.
A cookbook of simple, runnable PyTorch example projects covering image recognition, language modeling, and generative AI for learning by doing.
Mainly Python. The stack also includes Python, PyTorch.
Dormant — no commits in 2+ years (last push 2019-06-17).
No license info given in the explanation.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
double-check against the repo, no cap.