github.com
Eurybia monitors data and model drift over time and securizes model deployment with data validation.
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github.com
Exploit-DB paper archive with security research, exploitation papers, and technical writeups.
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Python package for geospatial intelligence workflows, location data, and map-based OSINT tasks.
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Google Advanced Data Analytics Projects: Automatidata, Waze, Tiktok and Salifort Motors
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Provides a central interface to connect your LLM's with external data.
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LlamaIndex is a data framework for your LLM applications.
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Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
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Source code and experiments results for 2018 Data Science Bowl.
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Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
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schema-org helps create or test structured data, schema markup, and rich-result eligibility.
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Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
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Research archive containing dark-web authorship verification datasets and baseline models.
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automates gathering website profiling data into a CSV from the "BuiltWith" or "Wappalyzer" API for tech stack information, technographic data, website
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Open source analytics engine for processing financial, business, or data-analysis workflows.
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GitHub awesome list collecting OSINT tools, datasets, training links, and research resources.
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50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infographics, build landing pages, deploy — full flywheel with social intelligence. Works with Claude Code, Pi, ChatGPT, Gemini, Cursor, Windsurf, any AI.
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🤖 Curated AI OSINT resources — Google dorks, Shodan queries, GitHub dorks, and techniques to discover exposed LLM endpoints, leaked AI API keys, misconfigured vector databases, and unprotected AI agents
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A comprehensive set of fairness metrics for datasets and machine learning models.
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Easy way to turn any app into searchable data for LLMs.
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Code and documentation to train Stanford's Alpaca models, and generate the data.
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Ambrosia helps you clean up your LLM datasets using other LLMs.
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Lightweight analytics reporting and publishing tool for Digital Analytics Program's Google Analytics 360 data.
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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
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Platform for Production Data Science.