NPX Skills Add
Last commit on April 3, 2026·Created on April 3, 2026
PrathamLearnsToCode/paper2code
“Turns an arxiv paper into a citation-grounded Python implementation.”
Combined rank
#138
across all skills
In Software Engineering
#12
category rank
Stars
1.5k
+0.6% in last 7d
Forks
174
-0.6% in last 7d
Watchers
4
0.0% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
Description
paper2code reads an arxiv paper, identifies its core contribution, and produces a minimal Python implementation anchored to the original source. It runs an ambiguity audit to flag every detail the paper leaves unspecified, then writes code only for what is stated. The result is a reproducible baseline that researchers, students, and engineers can inspect, extend, or compare against.
WHO IT'S FOR
ML Research Engineers
rapidly prototype paper implementations for experiments
ML PhD Students
reproduce core contributions for research validation
Applied AI Teams
evaluate new models by generating minimal reference code
ML Educators
create paper-based assignments with verifiable code
30 Days of GitHub Stars
+34 stars↑ 2.4% monthly change
Jul 7Jul 14Jul 21Jul 28Aug 5
Compatibility & Install1 Skill · 1 Compatible agent · 3 categories · 1 install path
Compatible agents
❯Claude Code
Categories
Software EngineeringResearchAutomation
Install via
Repository instructions
Also in this category4 of 50