New popular data sets, techniques, research paper links are some of the suggested ways you can contribute.
Contributor guide
Tech stack
None
Domain
documentationcontent
Issue type
documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
1
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
none
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
90
Research direction
Find and add links to popular machine learning datasets (e.g., ImageNet, COCO, MNIST), common techniques (e.g., supervised learning, neural networks), and influential research papers (e.g., 'Attention is All You Need'). Ensure all links are valid and relevant. The repository likely has a section for ML resources under the Algorithms or Topics directory; update the appropriate file.
