Showing 4 open source projects for "exploration"

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    Instant Neural Graphics Primitives

    Instant Neural Graphics Primitives

    Instant neural graphics primitives: lightning fast NeRF and more

    Instant Neural Graphics Primitives, is an open-source research project developed by NVIDIA that enables extremely fast training and rendering of neural graphics representations. The system implements several neural graphics primitives including neural radiance fields, signed distance functions, neural images, and neural volumes. These representations are trained using a compact neural network combined with a multiresolution hash encoding that dramatically accelerates both training and...
    Downloads: 0 This Week
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  • 2
    Fastbot-Android Open Source Handbook

    Fastbot-Android Open Source Handbook

    Testing tool for modeling GUI transitions

    Fastbot_Android (Fastbot 2.0) is a model-based automated testing tool by ByteDance designed to discover stability or usability issues in Android apps by modeling GUI transitions rather than relying purely on random interactions. It blends machine learning and reinforcement-learning approaches to build a transition graph of UI states and use that model to intelligently explore possible user interactions — aiming to replicate more human-like usage patterns and uncover hidden bugs, crashes, or...
    Downloads: 0 This Week
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  • 3
    Replica Dataset

    Replica Dataset

    High-fidelity indoor 3D dataset for AI simulation and robotics

    Replica Dataset is a high-quality 3D dataset of realistic indoor environments designed to advance research in computer vision, robotics, and embodied AI. Developed by Facebook Research (now Meta AI), it features accurate geometric reconstructions, high-resolution and high dynamic range textures, and comprehensive semantic annotations. Each environment contains detailed models of real-world spaces, including rooms, furniture, glass, and mirror surfaces. The dataset also provides semantic and...
    Downloads: 4 This Week
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  • 4
    Exploration in Evolutionary Computing, implementing the Traveling Salesman Problem, solving it by creating random solutions and apply random solutions to the survivors of an evaluation/elimination process.
    Downloads: 0 This Week
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