resources
Curated collection of tools, datasets, and learning materials for AI research and cybersecurity
Research Resources
Curated tools, datasets, and learning materials for AI research and cybersecurity
Machine Learning & AI
PyTorch
Deep learning framework for research and production
TensorFlow
End-to-end machine learning platform
Scikit-learn
Machine learning library for Python
XGBoost
Gradient boosting framework
SHAP
Explainable AI and model interpretation
MLflow
ML lifecycle management platform
Cybersecurity & Network Analysis
Wireshark
Network protocol analyzer and packet capture
Metasploit
Penetration testing framework
Suricata
High performance IDS/IPS and security monitoring
Nessus
Vulnerability assessment scanner
MITRE ATT&CK
Adversarial tactics and techniques framework
Splunk
SIEM and security analytics platform
Research Datasets
KDD Cup 1999
Network intrusion detection benchmark dataset
NSL-KDD
Improved version of KDD Cup dataset
BATADAL
Water distribution system attack detection dataset
SWaT
Secure Water Treatment testbed dataset
PlantVillage
Plant disease detection image dataset
Crop Monitoring
Satellite imagery for precision agriculture
Research Datasets
Curated datasets for cybersecurity research, anomaly detection, and ML model training
BATADAL Dataset
Battle of Attack Detection Algorithms - Water distribution system cyberattack dataset.
SWaT Dataset
Secure Water Treatment testbed dataset with normal operations and cyberattack scenarios.
NSL-KDD Dataset
Improved version of KDD Cup 99 dataset for network intrusion detection research.
Agricultural IoT Datasets
Collection of sensor data from smart agriculture systems for anomaly detection research.
Power Grid Datasets
Smart grid and power system datasets for critical infrastructure security research.
CIC-IDS2017
Comprehensive intrusion detection dataset with diverse attack scenarios and network traffic.
Learning Resources
Educational materials, courses, and books for advancing research skills
Hands-On Machine Learning
Comprehensive guide by Aurélien Géron covering practical ML techniques and implementation.
Andrew Ng's ML Course
Foundational machine learning course covering essential algorithms and mathematical foundations.
Cybersecurity Fundamentals
SANS Institute resources for cybersecurity professionals and researchers.
Deep Learning Specialization
Comprehensive deep learning course series covering neural networks, CNNs, RNNs, and more.
Arxiv Papers
Latest research papers in AI, ML, and cybersecurity from the leading preprint repository.
GitHub ML Projects
Curated collection of open-source machine learning and cybersecurity projects.
Development & Deployment
Essential tools for research development, experimentation, and deployment
Docker
Containerization platform for reproducible research environments and scalable deployments.
Jupyter Lab
Interactive development environment for data science and machine learning research.
Git & GitHub
Version control system and collaborative platform for research code and reproducibility.
Weights & Biases
Experiment tracking and model management platform for ML research and development.
Contribute to Resources
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