pengsida/learning_research resource
本人的科研经验 observed · 2026-08-28
Health v2 · maintenance only
68/100
- Activity 86
- Release rhythm 35
- Longevity 86
Flags: no_releases no_license
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: 1213
- days_rel: n/a
- days_push: 88
- n_releases_24m: 0
Adoption not part of the score
13855 stars · 680 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
An open-source collection of research experience and advice for graduate and undergraduate students, written by a 3D vision researcher. It covers finding research problems, generating ideas, running experiments, paper writing, rebuttals, and presentations, with links to slides and course videos.
Use cases
- how to become a top PhD student
- how to get started in 3D vision research
- how to write academic papers
- how to prepare rebuttals for paper reviews
- how to give academic presentations
- how to choose research topics and build field vision
When to choose
- you are a new graduate student learning how to do research
- you want advice on paper writing, rebuttals, and presentations
- you are interested in 3D vision or graphics research careers
When to avoid
- you need technical code or tools rather than research guidance
- you need advice outside the author's academic context and field
Facets
learning-resource · maturity active
documentation education tutorials computer-vision research-advice phd academic-writing 3d-vision chinese-language awesome-lists web-server
1 source
- readme: https://github.com/pengsida/learning_research · fetched 2026-08-28 · 886059c8e39f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pengsida/learning_research | main | 68 |
For agents
markdown · JSON · MCP: product_card(name="pengsida/learning_research")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem