kailashahirwar/cheatsheets-ai resource
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3388
- days_rel: n/a
- days_push: 2510
- n_releases_24m: 0
Adoption not part of the score
15427 stars · 3372 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A curated collection of cheat sheets (PDFs and images) covering machine learning and deep learning tools like TensorFlow, Keras, PyTorch, NumPy, Pandas, Scikit-learn, Matplotlib, and PySpark. It serves as a quick-reference resource for ML/DL researchers and engineers rather than runnable software.
Use cases
- quickly look up keras or tensorflow api syntax
- find a numpy or pandas cheat sheet for data manipulation
- reference sheet for scikit-learn functions while studying machine learning
- cheat sheet for matplotlib and seaborn plotting
- learn neural network architectures with a visual zoo chart
- pyspark and r data wrangling quick reference
When to choose
- you want quick visual reference cards for popular ML/DL libraries
- you are studying for interviews or learning ML frameworks
- you need offline PDF/image references for common APIs
When to avoid
- you need up-to-date documentation for current library versions (content dates to ~2019)
- you want interactive tutorials or runnable code examples
- you need comprehensive documentation rather than condensed summaries
Facets
learning-resource · maturity maintenance
documentation machine-learning deep-learning data-science machine-learning deep-learning data-science tutorials cross-platform cheatsheets reference tensorflow keras numpy pandas scikit-learn matplotlib pyspark r
1 source
- readme: https://github.com/kailashahirwar/cheatsheets-ai · fetched 2026-08-28 · 8d252fe1d112
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| kailashahirwar/cheatsheets-ai | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="kailashahirwar/cheatsheets-ai")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem