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Datamining Discord changes from the JS files

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.

DVMCP is a bridge implementation that connects Model Context Protocol (MCP) servers to Nostr's Data Vending Machine ecosystem

Eurybia monitors data and model drift over time and securizes model deployment with data validation.

Exploit-DB paper archive with security research, exploitation papers, and technical writeups.

Python package for geospatial intelligence workflows, location data, and map-based OSINT tasks.

Google Advanced Data Analytics Projects: Automatidata, Waze, Tiktok and Salifort Motors

Provides a central interface to connect your LLM's with external data.

LlamaIndex is a data framework for your LLM applications.

Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Source code and experiments results for 2018 Data Science Bowl.

Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.

schema-org helps create or test structured data, schema markup, and rich-result eligibility.

Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.

Research archive containing dark-web authorship verification datasets and baseline models.

automates gathering website profiling data into a CSV from the "BuiltWith" or "Wappalyzer" API for tech stack information, technographic data, website

Open source analytics engine for processing financial, business, or data-analysis workflows.

GitHub awesome list collecting OSINT tools, datasets, training links, and research resources.

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.

🤖 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

A comprehensive set of fairness metrics for datasets and machine learning models.

Easy way to turn any app into searchable data for LLMs.

Code and documentation to train Stanford's Alpaca models, and generate the data.

Ambrosia helps you clean up your LLM datasets using other LLMs.