Search Results for "fuzzy logic python" - Page 3
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Showing 69 open source projects for "fuzzy logic python"
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CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.
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Objective of SnortAI project is create a family of Snort plug-ins based on Artificial Intelligence (AI) technologies (i.e. Artificial Neural Networks or Fuzzy Logic) to detect different kinds of hostile traffic.
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Fuzzy Logic Library for Microsoft .Net (fuzzynet). The library is an easy to use component that implements fuzzy inference system (both, Mamdani and Sugeno methods supported). The library is written in C#. Samples and API documentation are provided. The library was used in http://bettingstudio.com algorithms.
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Inexact is a library developed in Java 5.0 to implements three methods of information fuzzy retrieval: Fuzzy query, Query by example and the two previous methods together. This project uses the fuzzy logic paradigm (Artificial Intelligence).
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Deliver trusted data with dbtData teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
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Device independend source code of Fuzzy logic expert system. Reads FCL (fuzzy control language). Sourcecode in C++. Example program is tested with Linux, should also work with Windows or other operating systems. Without a graphical user interface.
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AKIRA aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents.Features:KQML,Fuzzy Logic,Neural Net,Fuzzy Cognitive Maps and DIPRA (a distributed BDI - Belief Desire Intention goals model)
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A knowledge base engine for Python built on F-Logic. It uses the FLORA-2 reasoning engine and provides permanent storage through ZODB. Logic programming concepts like logical variables, facts, rules and queries are included.
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Software tool that emphasizes useful information, communication, and intent. Accomplish any conceivable computer task by transforming fuzzy abstract data-structures in a fractal vector graphics user interface.
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SETH is a software effort to deeply integrate Python and Semantic Web technologies, i.e. extend Python to support logic programming paradigm.
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Pest Control Management SoftwareBuilt for the pest control industry, but also works great for Mosquito Control, Bin Cleaning, Window Washing, Solar Panel Cleaning, and other Home Service Businesses in need of an easy-to-use software that helps you simplify routing, scheduling, communications, payment processing, truck tracking, time tracking, and reporting.
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This is a prolog-like programming language based on the fuzzy logic. It includes the class-libraries for fuzzy logic, probability theory and method of resolution, all made in C++. Java releases possible in the future.
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mbFuzzIT enables the work with Fuzzy technology (fuzzy inference / fuzzy logic) in Java. In order to facilitate the creation of the inference mechanisms, mbFuzzIT containts a visual editor.
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FLPD is an automatic learning system based on fuzzy prototypes, composed of a C++ library for machine learning and fuzzy logic and an experimentation framework.
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Project FuzzyGKS is a Java-based fuzzy logic control system. It provides an extensible, multithreaded framework for fuzzy controllers. FuzzyGKS can be extended from Type I fuzzy reasoning to Type II fuzzy reasoning.
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This project's goal is to "package" AI features altogether. These features can embrace pathfinding, behaviour, fuzzy logic, state machines, and the like.
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EpicStaff
Open-source platform for AI agents with visual and code control.
EpicStaff is an open-source multi-agent AI systems platform that enables automation of complex workflows through these capabilities: - Visual AI Workflow Builder for no-code agent creation. - Full Developer Control via API for custom Python tools and logic. - Multi-Agent Orchestration for collaborative agent teams. - Knowledge Injection (RAG) for accurate, context-aware responses. - Memory & Contextual Reasoning for complex, multi-step tasks. - High-Performance Core (FastAPI) for scalable, low-latency responses. It integrates with any LLM and API via custom tools. ...
