bnsreenu/python_for_microscopists resource
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1 observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 78
- 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 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2641
- days_rel: n/a
- days_push: 134
- n_releases_24m: 0
Adoption not part of the score
4408 stars · 2498 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of Jupyter notebooks supporting the DigitalSreeni YouTube tutorials, teaching Python from basics through advanced machine learning and deep learning with an emphasis on image processing. It is educational material, not a software library.
Use cases
- learn python for image analysis
- segment microscopy images with deep learning
- fine-tune detectron2 for instance segmentation
- learn image processing with python
- follow deep learning tutorials with notebooks
When to choose
- you want tutorial-style notebooks to learn image analysis and deep learning
- you work with microscopy or biological imaging data
- you prefer learning by following along with YouTube videos
When to avoid
- you need a production-ready library or package to install
- you need maintained, tested code for a real application
- you want a standalone tool without video context
Facets
learning-resource · maturity active
image-processing machine-learning deep-learning computer-vision tutorials image-processing machine-learning deep-learning computer-vision python jupyter-notebooks microscopy image-segmentation youtube-tutorials digital-sreeni
1 source
- readme: https://github.com/bnsreenu/python_for_microscopists · fetched 2026-08-28 · aeb860573913
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| bnsreenu/python_for_microscopists | main | 67 |
For agents
markdown · JSON · MCP: product_card(name="bnsreenu/python_for_microscopists")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem