Showing 5 open source projects for "simple building sim"

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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

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  • 1
    ngraph.path

    ngraph.path

    Path finding in a graph

    ngraph.path is a JavaScript library that implements efficient pathfinding algorithms for graphs, primarily designed to compute shortest paths in weighted or unweighted networks. It provides a clean API for constructing graph models, assigning weights to edges, and querying for optimal routes between nodes, making it useful for routing, games, maps, and network optimization. The library includes several algorithm implementations such as A*, Dijkstra’s, and breadth-first search, each suited to...
    Downloads: 3 This Week
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  • 2
    JUtilClasses

    JUtilClasses

    Java programmer's aid in useful methods and classes

    Util-Classes is a collection of Java classes for programming support in service for building applications. It covers a wide range of topics from simple small routines over Collection classes to larger utilities addressing IO-management, GUI topics and data safety.
    Downloads: 0 This Week
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  • 3
    Kalman and Bayesian Filters in Python

    Kalman and Bayesian Filters in Python

    Kalman Filter book using Jupyter Notebook

    Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions. Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser.
    Downloads: 0 This Week
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  • 4
    Coach

    Coach

    Enables easy experimentation with state of the art algorithms

    Coach is a python framework that models the interaction between an agent and an environment in a modular way. With Coach, it is possible to model an agent by combining various building blocks, and training the agent on multiple environments. The available environments allow testing the agent in different fields such as robotics, autonomous driving, games and more. It exposes a set of easy-to-use APIs for experimenting with new RL algorithms and allows simple integration of new environments to solve. Coach collects statistics from the training process and supports advanced visualization techniques for debugging the agent being trained. ...
    Downloads: 0 This Week
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  • Atera all-in-one platform IT management software with AI agents Icon
    Atera all-in-one platform IT management software with AI agents

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  • 5
    Physhun is a Java framework for building and executing finite state machines in J2SE and J2EE environments. State models are defined as collections of Spring beans, and do not use proprietary modeling languages. The framework is simple and flexible.
    Downloads: 0 This Week
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