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Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
This is the Baker College, intern-developed application for running bots as avatars in Second Life, OpenSim, etc. It relies on Program# for AIML processing and libOpenMetaverse for the SL browser functionality.
Graph Process Platform implements and automates any graph-based process for example a manufacturing process, trading system or business process workflow.
Medical Datasets (In a text file, with space separated values) can be loaded to the system.
By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.
Atera all-in-one platform IT management software with AI agents
Ideal for internal IT departments or managed service providers (MSPs)
Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior. Researchers all over the world, both from the fields of artificial intelligence and cognitive science, are using Soar for a variety of tasks.
The aim of the PL-PSF project is to create a generic domain-independent combinatorial problem solver. It uses a petri-nets based model to represent the problems and problem decomposition/abstraction with graph topology analysis to solve them.
This is an application that takes the input of ABNF code and then converts it to GRXML. Both standards adhere to the W3 standard of grammars for speech recognition.
A VERY simple program for finding most relevant words in sample site
by calculating Conditional probabilities of relevant sites and irrelevant sites words.
Example of using Neural networks to implement chase between mouses and cats. Mouses search for cheese on map, while cats are chasing mouses. Goal of the project is to see will both sides learn some new behavior over time using genetic algorithms.
Befasst sich spielerisch mit dem "Infinite-Monkey-Theorem" (http://de.wikipedia.org/wiki/Infinite-Monkey-Theorem). Deals with the "Infinite-Monkey-Theorem" in a playful way (http://en.wikipedia.org/wiki/Infinite_monkey_theorem)
XSBDotNet is a .NET wrapper for the XSB Prolog Engine. It supports both the single-threaded and multithreaded engines and provides object-oriented classes for a complete .NET experience.
A system for researching knowledge representation, language parsing, and derivation with a voice recognition front end. The front end, known as Grace, allows additional functionality to be developed to interact with the web, iTunes, etc.