What is Semi-supervised-learning?
Semi-supervised-learning is a coding that A Unified Semi-Supervised Learning Codebase (NeurIPS'22). It has a Nerq Trust Score of 56/100 (D). 1.6K GitHub stars. Published by Unknown. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ✅ Community: 1.6K stars, 0 downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Semi-supervised-learning Does
Semi-supervised-learning is a tool in the coding category. A Unified Semi-Supervised Learning Codebase (NeurIPS'22). It is published by an independent developer and has no specified license. With 1.6K GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use Semi-supervised-learning
Semi-supervised-learning is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | coding |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=microsoft-semi-supervised-learning
Setup guide · Full safety report · Production review · Is it safe?
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Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.