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title: README |
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emoji: π’ |
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colorFrom: pink |
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colorTo: indigo |
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sdk: static |
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pinned: false |
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--- |
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# π Deathly Legion Cyber Team |
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<div align="center"> |
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**Cybersecurity & AI Model Training** |
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</div> |
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--- |
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## π― About |
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Deathly Legion is a cyber team focused on AI model training, machine learning research, and cybersecurity operations. |
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## π₯ Specializations |
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### π€ AI Model Training |
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- Neural network development |
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- Model fine-tuning and optimization |
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- Dataset preparation and cleaning |
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- Model evaluation and testing |
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### π‘οΈ Cybersecurity |
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- Security research |
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- Threat analysis |
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- System hardening |
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- Network security |
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### π Technical Skills |
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- Machine learning implementation |
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- Deep learning frameworks |
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- Security tools and automation |
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- Data analysis |
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## π» Technology Stack |
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### AI/ML Frameworks |
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``` |
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PyTorch | TensorFlow | Keras | Scikit-learn |
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Hugging Face Transformers | ONNX | NumPy | Pandas |
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``` |
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### Programming Languages |
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``` |
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Python | JavaScript | Bash | SQL |
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``` |
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### Tools & Platforms |
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``` |
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Jupyter Notebook | Git | Docker | Linux |
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VS Code | Google Colab | Kaggle |
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``` |
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### Security Tools |
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``` |
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Wireshark | Nmap | Metasploit | Burp Suite |
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Kali Linux | OWASP ZAP |
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``` |
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## π Training Focus Areas |
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- Computer vision models |
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- Natural language processing |
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- Time series analysis |
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- Classification and regression tasks |
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- Anomaly detection systems |
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- Custom dataset creation |
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## π Team Structure |
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- AI/ML Engineers |
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- Security Researchers |
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- Data Scientists |
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- Infrastructure Support |
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## π Learning & Development |
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### Focus Areas |
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- Deep learning techniques |
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- Security best practices |
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- Model optimization |
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- Ethical AI development |
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## βοΈ Ethics |
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- Responsible AI development |
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- Ethical security research |
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- Privacy protection |
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- Legal compliance |
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--- |
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<div align="center"> |
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**π Deathly Legion Cyber Team π** |
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</div> |