name string | description string | version string | total_entries int64 | modules dict | training dict | technologies list | use_cases list | performance dict | license string | citation string |
|---|---|---|---|---|---|---|---|---|---|---|
Chapel OSINT Ultimate - Intelligence Gathering & Analysis | Comprehensive OSINT dataset with stealth techniques, audio/image detection, and Chapel advanced programming | 1.0 | 30,000 | {
"osint_fundamentals": {
"entries": 10000,
"topics": [
"DNS Reconnaissance (nslookup, dig, PowerShell)",
"WHOIS Intelligence",
"Social Media Intelligence (OSINT framework)",
"Email Pattern Discovery",
"Network Forensics",
"Metadata Extraction (EXIF, documents)",
"Rev... | {
"model_type": "Chapel OSINT Autoencoder",
"architecture": "384 -> 768 -> 384",
"epochs": 35,
"optimizer": "SGD",
"loss_function": "MSE",
"initial_loss": 0.1973,
"final_loss": 0.1023,
"improvement": "48.1%",
"status": "CONVERGED",
"training_time": "6.7 minutes"
} | [
"Mojo (100% processing)",
"Chapel (Parallel OSINT)",
"PowerShell (Automation & OSINT)",
"Python (Computer Vision, Audio ML)",
"OpenCV, librosa, speech_recognition",
"FFT, CUDA"
] | [
"Open Source Intelligence Gathering",
"Digital Forensics & Incident Response",
"Security Research & Penetration Testing",
"Network Intelligence & Reconnaissance",
"Audio/Visual Intelligence Analysis",
"Distributed Data Collection",
"Parallel Processing for OSINT"
] | {
"generation_speed": "18-20x faster than Python",
"training_time": "6.7 minutes for 10K entries",
"parallel_efficiency": "90%+ with Chapel"
} | MIT | Created with Mojo & Chapel - Ultra-fast OSINT dataset with advanced parallel computing |
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