AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
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Telegram-focused OSINT toolbox with resources for researching accounts, channels, and public data.
Code for Data Science at Olin College, Spring 2014.
) - RSS/Atom gateway to Nostr. Live at [https://atomstr.data.haus](https://atomstr.data.haus)
Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.
) - DVM documentation and kind registry
Interact your data and environment using the local GPT, no data leaks, 100% privately, 100% security.
Datamining Discord changes from the JS files
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.
Python package for geospatial intelligence workflows, location data, and map-based OSINT tasks.
Google Advanced Data Analytics Projects: Automatidata, Waze, Tiktok and Salifort Motors
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.
Columbus Project is an advanced subdomain discovery service with fast, powerful and easy to use API.
OSINT tool that helps derive possible phone numbers connected to an email using partial number clues.
Practical principles for building controllable LLM applications around deterministic software.
A machine learning / bayesian inference assigning attributes to objects.
30x-seo helps research keywords, search demand, related terms, and content opportunities for SEO.
MCP server for Todoist integration enabling natural language task management with Claude.
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Open-source implementation of Google Vizier for hyper parameters tuning.
A framework for performing reproducible AI and ML for Weights and Biases.