Showing 4 open source projects for "transfer learning"

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    NVIDIA Isaac Lab

    NVIDIA Isaac Lab

    Unified framework for robot learning built on NVIDIA Isaac Sim

    Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning...
    Downloads: 3 This Week
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  • 2
    MATLAB Deep Learning Model Hub

    MATLAB Deep Learning Model Hub

    Discover pretrained models for deep learning in MATLAB

    Discover pre-trained models for deep learning in MATLAB. Pretrained image classification networks have already learned to extract powerful and informative features from natural images. Use them as a starting point to learn a new task using transfer learning. Inputs are RGB images, the output is the predicted label and score.
    Downloads: 1 This Week
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  • 3
    FEATool Multiphysics - FEA & CFD Toolbox

    FEATool Multiphysics - FEA & CFD Toolbox

    FEATool Multiphysics is an easy-to-use FEA and CFD Simulation Toolbox

    ...Moreover, native itegration with MATLAB and Python allows advanced simulation scripts and programmatic use cases such as in AI and machine learning [2]. [1]: https://www.featool.com/Easy-to-Use-OpenFOAM-GUI/ [2]: https://featool.com/model-showcase/2024-11-12-CFD-and-Flow-Prediction-Based-on-Deep-Learning
    Downloads: 7 This Week
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  • 4
    a distributed engine for abstract neural network development via natural-language programming
    Downloads: 0 This Week
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