karpathy/researchpooler — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2023-09-01
Find every paper mentioning a term like 'deep learning' in the title and open them all at once in your browser.
Search across full paper text to find every paper that uses a specific dataset like MNIST.
Write a simple parser to add a new conference's papers, following the pattern used for NIPS.
List all papers by a specific author from the collected records.
| karpathy/researchpooler | tiantiangpu/reg-factory | facebookresearch/pixio | |
|---|---|---|---|
| Stars | 460 | 469 | 449 |
| Language | Python | Python | Python |
| Last pushed | 2023-09-01 | — | 2026-06-11 |
| Maintenance | Dormant | — | Maintained |
| Setup difficulty | moderate | hard | hard |
| Complexity | 2/5 | 4/5 | 4/5 |
| Audience | researcher | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Rough proof-of-concept, you likely need to write your own conference parser to populate the paper database.
A Python proof-of-concept that lets you search, filter, and bulk-open academic papers with a few lines of code instead of clicking through databases one by one.
Mainly Python. The stack also includes Python.
Dormant — no commits in 2+ years (last push 2023-09-01).
No license information is given in the explanation.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Verify against the repo before relying on details.