Search Results for "learn"
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Showing 14 open source projects for "learn"
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GaiaNet
Install and run your own AI agent service
Gaia is building an active, intelligent ecosystem that supports applications that learn, improve and grow over time. Put your knowledge to work and watch it evolve by creating a node on Gaia or by contributing to a domain supporting an existing knowledge base. Gaia’s decentralized platform ensures robust protection for user data and IP. Gaia allows secure ownership and monetization of IP without compromising privacy. -
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WrenAI
Open-source SQL AI Agent for Text-to-SQL. Make Text2SQL Easy
...Wren AI has implemented a semantic engine architecture to provide the LLM context of your business; you can easily establish a logical presentation layer on your data schema that helps LLM learn more about your business context. With Wren AI, you can process metadata, schema, terminology, data relationships, and the logic behind calculations and aggregations with “Modeling Definition Language”, to generate accurate SQL queries with semantic context. When starting a new conversation in Wren AI, your question is used to find the most relevant tables. ... -
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SuperAGI
A dev-first open source autonomous AI agent framework
...Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. Get notified when agents get stuck in the loop, and provide proactive resolution. Read and store files generated by Agents. -
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Dragonfire
The open-source virtual assistant for Ubuntu based Linux distributions
Dragonfire is the open-source virtual assistant project for Ubuntu-based Linux distributions. Her main objective is to serve as a command and control interface to the helmet user. So that you will be able to give orders just by using your voice commands and your eye movements. That makes the helmet handsfree. We are planning to ship Dragonfire as a preinstalled software package on DragonOS Linux Distribution. DragonOS will be a Linux distribution specially designed for the helmet. It will... -
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2OPL
2OPL is a norm programming language for agent organizations.
...Finally sanction rules can be programmed to respond to norm violations. The current implementation is based on logic programming (Prolog in particular). For those users who are not familiar with Prolog we advise the free ebook Learn Prolog Now (http://www.learnprolognow.org). The interpreter supports three different norm specifications. For more information see the documentation or mail one of the developers. -
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Sentence Composer
Compose the writings semi-automatically
...Transduction, or transductive inference, tries to predict new outputs on specific and fixed (test) cases from observed, specific (training) cases. The simplest realization for transductive inference is the method of k-nearest neighbors. Learning to learn learns its own inductive bias based on previous experience. ...AND SO ON.... Enjoy the program ! -
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Ms. Pac-Man Framework
Using reinforcement learning with relative input to train Ms. Pac-Man
This Java-application contains all required components to simulate a game of Ms. Pac-Man and let an agent learn intelligent playing behaviour using reinforcement learning and either Q-Learning or SARSA. The framework was developed by Luuk Bom and Ruud Henken, under supervision of Marco Wiering, Department of Artificial Intelligence, University of Groningen. It formed the basis of a bachelor's thesis titled "Using reinforcement learning with relative input to train Ms. -
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RASCALLI stands for "Responsive Artificial Situated Cognitive Agents that Live and Learn on the Internet". The primary goal is to develop software agents that assist their users in finding relevant information on the Internet.
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AIML Verbot Converter - Converts AIML files to Verbot KnowledgeBase (VKB) files. Visit http://www.verbots.com/ and http://www.alicebot.org to learn more about AIML and Verbots. Implemented in C# (.NET).
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Project Genesis brings the game of life up-to-date. instead of dots, we have animals, instead of trivial rules about close proximity dots, we model real world activities: move,eat,kill,steal,destroy,sleep, breed and learn different patterns of behavior.
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An agent that tries to learn your taste in music based on an example database, using different AI-learning-approaches.
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This project is for automatically rotating images based on content. This was a masters project and contains simple implementations of machine learning algorithms.
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The goal of the project it to learn how to use Neural Networks, and teach one how to play tic tac toe, and get to the never losing ability that most people can play at.
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