Showing 8 open source projects for "arc linux"

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  • 1
    ARC-AGI-1 Task Generator

    ARC-AGI-1 Task Generator

    Generates original ARC-AGI-1-style tasks distribution-matched

    ARC-AGI-1 Task Generator creates new ARC-style reasoning tasks whose distribution is designed to resemble the public ARC-AGI-1 evaluation set. It provides fresh problems that models are less likely to have encountered during training or previous evaluation. The project is intended to complement public benchmark scores by testing whether reasoning abilities transfer to newly generated examples. Generated tasks use the standard ARC train-and-test JSON structure. This makes the output...
    Downloads: 0 This Week
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  • 2
    Poetiq

    Poetiq

    Reproduction of Poetiq's record-breaking submission to the ARC-AGI-1

    poetiq-arc-agi-solver is the open-source codebase from Poetiq that replicates their record-breaking submission to the challenging benchmark suite ARC-AGI (both ARC-AGI-1 and ARC-AGI-2). The project demonstrates a system that orchestrates large language models (LLMs) — like those from major providers — with carefully engineered prompting, reasoning workflows, and dynamic strategies, to tackle the abstract, logic-heavy problems in ARC-AGI. Instead of relying on a single prompt or fixed...
    Downloads: 0 This Week
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  • 3
    GLM-4.6

    GLM-4.6

    Agentic, Reasoning, and Coding (ARC) foundation models

    GLM-4.6 is the latest iteration of Zhipu AI’s foundation model, delivering significant advancements over GLM-4.5. It introduces an extended 200K token context window, enabling more sophisticated long-context reasoning and agentic workflows. The model achieves superior coding performance, excelling in benchmarks and practical coding assistants such as Claude Code, Cline, Roo Code, and Kilo Code. Its reasoning capabilities have been strengthened, including improved tool usage during inference...
    Downloads: 9 This Week
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  • 4
    Antorca
    A performance and usability focused Linux distribution based on 64-bit Debian testing. It is the successor to illume OS. To use the live ISO image, login to "root" with the password "antorca".
    Downloads: 9 This Week
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    Build Securely on AWS with Proven Frameworks

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  • 5
    SAMoCAD

    SAMoCAD

    Simple CAD program

    SAMoCAD - its program to create simple drawings, partially supports DXF. Main features: - create simple objects (line, arc, circle) - create complex objects (text, dimensions) - edit drawn objects - save drawing to SVG format - output drawing in PostScript format - export/import content DXF files (primitives LINE, CIRCLE, ARC, TEXT, DIMENSION) Program written in Python 2 and use the library Tkinter. Program requires no installation, but you need install Python 2.7 or later on...
    Downloads: 0 This Week
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  • 6
    pyTectonics

    pyTectonics

    3d plate tectonics in Python

    PyTectonics is no longer maintained. There is a replacement, which you can see here: davidson16807.github.io/tectonics.js.
    Downloads: 0 This Week
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  • 7
    Dedalo

    Dedalo

    dedalo is a 2d cad drawing software written in python3.

    dedalo is a 2d cad drawing software written in python3. It is licensed under the GPLv3. Dedalo features: layers, snaps (endpoint, intersection, midpoint), line, polyline, rectangle, delete, polygon, rectangle, arc, circle, points, text, spline, freehand drawing. Move, scale, rotate, offset, cut, extend, hatch, dimension, copy. English, italian languages SVG read-write. Not all features all fully supported. For more information a user manual is provided(pdf format, italian).
    Downloads: 0 This Week
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  • 8
    Lightning Planning Framework for ROS

    Lightning Planning Framework for ROS

    ROS package implementing the Lightning Framework using OMPL

    LightningROS is a ROS package implementing the Lightning Path Planning Framework. The code here was developed for ROS Feurte. For later ROS versions, see https://github.com/WPI-ARC/lightning_ros This approach uses a path library to store previous experience while allowing generality by also planning from scratch. Please see the paper below for more details: A Robot Path Planning Framework that Learns from Experience Dmitry Berenson, Pieter Abbeel, and Ken Goldberg IEEE...
    Downloads: 0 This Week
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