Annotated_deep_learning_paper_implementations EU AI Act Compliance Profile
labmlai · Visit website ↗
Your risk depends on how you use Annotated_deep_learning_paper_implementations
| Usage Context | Risk Level | Obligations |
|---|---|---|
| Internal coding tool | MINIMAL | 3 obligations (~12h) |
| Customer support bot | LIMITED | 7 obligations (~32h) |
| HR screening / hiring | HIGH | 19 obligations (~120h) |
| Credit decisions | HIGH | 19 obligations (~120h) |
| Medical triage | HIGH | 19 obligations (~120h) |
Why this tool is classified as MINIMAL
🧑🏫 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, ... 🧠
Applicable Articles
Who does what
labmlai (provider)Their job
- Provider obligations being compiled
Risk Assessment Reasoning
The tool provides implementations and tutorials of deep learning papers but does not itself deploy or utilize AI in a manner that falls under the EU AI Act's definitions of high-risk or limited-risk AI systems.
Similar Models
Frequently Asked Questions
What is Annotated_deep_learning_paper_implementations's EU AI Act risk classification?
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Annotated_deep_learning_paper_implementations is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy Annotated_deep_learning_paper_implementations?
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As a Annotated_deep_learning_paper_implementations deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is Annotated_deep_learning_paper_implementations?
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Annotated_deep_learning_paper_implementations is a Unknown model. It has 0 downloads on HuggingFace.
What are the EU AI Act deadlines for Annotated_deep_learning_paper_implementations?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
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