OpenAgentSkill Registry Manifest
Skill: Annotated Deep Learning Paper Implementations
Slug: labmlai-annotated-deep-learning-paper-implementations
Category: ml-automation
Description: 🧑‍🏫 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, ... 🧠

Agent fit:
- Decision: 100/100 Production-ready
- Primary fit: Coding agents
- Role: Primary pick

Supply profile:
- Track: Coding and developer agents
- Scenario: Coding agents
- Applicable agents: Claude Code, CLI, Codex, Cursor, Python
- Maintenance: 5mo since push
- Risk: Safe to try

Trust:
- Trust score: 95/100 Production candidate
- Audit: 92/100 Safe to try

Attribution:
- Status: Community indexed
- Source: GitHub star discovery
- Creator: labmlai
- Claim URL: https://www.openagentskill.com/skills/labmlai-annotated-deep-learning-paper-implementations#claim-this-skill

Install:
npx skills add labmlai/annotated_deep_learning_paper_implementations

URLs:
- Web: https://www.openagentskill.com/skills/labmlai-annotated-deep-learning-paper-implementations
- API: https://www.openagentskill.com/api/agent/skills/labmlai-annotated-deep-learning-paper-implementations
- Install API: https://www.openagentskill.com/api/skills/labmlai-annotated-deep-learning-paper-implementations/install
- Repository: https://github.com/labmlai/annotated_deep_learning_paper_implementations