What is annotated_deep_learning_paper_implementations?
annotated_deep_learning_paper_implementations is a AI tool that 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(. It has a Nerq Trust Score of 51/100 (C-). 65.8K GitHub stars. Published by Unknown. Last analyzed April 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ✅ Community: 65.8K stars, 0 downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What annotated_deep_learning_paper_implementations Does
annotated_deep_learning_paper_implementations is a tool in the AI tool category. 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠. It is published by an independent developer and has no specified license. With 65.8K GitHub stars and 0 downloads, it has a large and active community of users and contributors.
Who Should Use annotated_deep_learning_paper_implementations
annotated_deep_learning_paper_implementations is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | AI tool |
| 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=labmlai-annotated-deep-learning-paper-implementations
Setup guide · Full safety report · Production review · Is it safe?
Frequently Asked Questions
Last updated April 2026. Trust scores based on automated analysis of public data.