Showing 123 open source projects for "embedded linux"

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  • 1
    PlexBench is a cross-platform, web-enabled, analysis tool that is driven by a scalable backpropagation feed-forward neural network. It uses embedded Perl for scripting and is written in the style of an in-process Component Object Model (COM) C++ program.
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  • 2
    Rule-action based term rewriting framework, designed be embedded in Java applications.
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  • 3
    This article talks about how to create a chatterbot that can serve as an interactive help agent. The bot has been "taught" to answer FAQs about a system. It can help solve petty issues for users quickly or point them to a human agent.
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  • 4
    TOAST (Trust Organisational Agent System Testbed) is a simulation framework used to evaluate and compare different trust models for agents embedded in organisational systems.
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  • 5
    Mito-MAS-m is a simulator of the mitochondrial inner membrane and the enzymatic complexes embedded in it, implementing a coarse-grained (CG) model of the molecules using rigid structures and Dissipative Particules Dynamics (DPD) as motion equation.
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  • 6
    O editor de regras de produção orientadas à objeto (ERPOO). Tem como função principal, fornecer um ambiente automatizado para o uso do JEOPS (Java Embedded Object Production System), provendo recursos para edição de suas regras.
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  • 7
    Jatha is a Java library that implements a large subset of Common LISP, including most of the datatypes (e.g. packages, bignums). The API allows access to LISP from Java. Jatha is useful as a fast, embedded LISP language, or as a standalone LISP.
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  • 8
    jDREW (Java Deductive Reasoning Engine for the Web) is a highly configurable reasoning engine written in Java for definite clause reasoning. Through its diverse APIs, jDREW can be easily embedded into a larger Java system.
    Downloads: 2 This Week
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  • 9
    A small but extensible Java based "embedded lisp"- derives from the 1960 Mc Carthy Lisp a new consequently functional, dynamically scoped dialect enriched by modern features (pattern matching, parallel processing, implicit lex. closures etc).
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  • 10
    Robot Controlling System (RCS) - is a .NET-oriented software group for controlling remote mechanical objects, debuging and programming them by .NET-languages
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  • 11
    A toolkit for processing and visualising sensor data in real time with support for use with embedded platforms.
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  • 12
    Algernon is a rule-based reasoning engine written in Java. It allows forward and backward chaining across Protege knowledge bases. In addition to traversing the KB, rules can call Java functions and LISP functions (from an embedded LISP interpreter)
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  • 13
    Java Embedded AI Toolkit
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  • 14
    This project intends to develop a system to control the vehicles over a wireless network. Each vehicle contains embedded software that interfaces with a set of sensors and actuators that allow the vehicle to navigate, to communicate with roadside sensors,
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  • 15
    Cigol (logic, spelled backwards) is a deductive logic solver. It can be embedded inside a parent program or used from the command line. It has absolutely no relationship to Tom Mitchell's book on Machine Learning.
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  • 16
    *** This page is no longer used by the Dasher project - please see http://www.inference.phy.cam.ac.uk/dasher/ *** Dasher is a data entry interface incorporating language modelling and driven by continuous two-dimensional gestures, e.g. a mouse, a stylus
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  • 17
    This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.
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  • 18
    An open source set of embedded software libraries in C, C++ and Assembler for robotics programming, targeting controllers using Motorola 68K/ColdFire & PowerPC micros. The initial target is the 68332-powered Mini RoboMind controller (www.robominds.com)
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  • 19
    Ministral 3 3B Instruct 2512

    Ministral 3 3B Instruct 2512

    Ultra-efficient 3B multimodal instruct model built for edge deployment

    Ministral 3 3B Instruct 2512 is the smallest model in the Ministral 3 family, offering a lightweight yet capable multimodal architecture designed for edge and low-resource deployments. It includes a 3.4B-parameter language model paired with a 0.4B vision encoder, enabling it to understand both text and visual inputs. As an FP8 instruct-fine-tuned model, it is optimized for chat, instruction following, and compact agentic tasks while maintaining strong adherence to system prompts. Despite its...
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  • 20
    SuperGemma4

    SuperGemma4

    Fast uncensored Gemma model optimized for local chat and coding

    SuperGemma4 is a locally deployable large language model built on the Gemma 4 26B A4B instruction base, optimized for speed, flexibility, and less restricted conversational behavior. It is designed to provide a more open and natural chat experience compared to standard censored models, while still maintaining practical usability across general text, coding, and multilingual tasks, especially Korean. Unlike raw base models, it inherits improvements from the SuperGemma Fast line, resulting in...
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  • 21
    Ministral 3 8B Instruct 2512

    Ministral 3 8B Instruct 2512

    Compact 8B multimodal instruct model optimized for edge deployment

    Ministral 3 8B Instruct 2512 is a balanced, efficient model in the Ministral 3 family, offering strong multimodal capabilities within a compact footprint. It combines an 8.4B-parameter language model with a 0.4B vision encoder, enabling both text reasoning and image understanding. This FP8 instruct-fine-tuned variant is optimized for chat, instruction following, and structured outputs, making it ideal for daily assistant tasks and lightweight agentic workflows. Designed for edge deployment,...
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  • 22
    Ministral 3 8B Reasoning 2512

    Ministral 3 8B Reasoning 2512

    Efficient 8B multimodal model tuned for advanced reasoning tasks.

    Ministral 3 8B Reasoning 2512 is a balanced midsize model in the Ministral 3 family, delivering strong multimodal reasoning capabilities within an efficient footprint. It combines an 8.4B-parameter language model with a 0.4B vision encoder, enabling it to process both text and images for advanced reasoning tasks. This version is specifically post-trained for reasoning, making it well-suited for math, coding, and STEM applications requiring multi-step logic and problem-solving. Despite its...
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  • 23
    lastest

    lastest

    AI-supported visual verification and tests you can actually trust.

    Lastest.cloud is a free, open-source verification of development, self-hosted visual regression and end-to-end testing platform for web applications. An AI agent records you clicking through your running app and generates Playwright tests with multi-selector fallback. Replays are deterministic and token-free, so your CI/CD bill doesn't scale with your test suite. Lastest ships three diff engines side-by-side — pixel (pixelmatch), structural (SSIM), and perceptual (Butteraugli) — so...
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