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  • SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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  • Displaying 112 results
    monai_spleen_ct_segmentation
    NVIDIA
    A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
    Model
    MATLAB
    Mathworks
    MATLAB is a programming platform designed for engineers and scientists. The MATLAB Deep Learning Container provides algorithms, pretrained models, and apps to create, train, visualize, and optimize deep neural networks.
    Container
    PeopleSemSegnet
    NVIDIA
    Semantic segmentation of persons in an image.
    Model
    Riva Speech Skills
    NVIDIA
    Riva Speech Skills Helm Chart
    Helm Chart
    Mask Grounding DINO CC
    NVIDIA
    Open vocabulary multi-modal instance segmentation model trained on commercial data.
    Model
    Action Recognition Net
    NVIDIA
    5 class action recognition network to recognize what people do in an image.
    Model
    Pre-trained SegFormer ImageNet weights
    -
    Pre-trained SegFormer weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    Grounding DINO
    NVIDIA
    Open vocabulary multi-modal object detection model trained on commercial data.
    Model
    Riva NIM
    NVIDIA
    Riva NIM Helm Chart
    Helm Chart
    ReIdentificationNet
    —
    Re-Identification network to generate embeddings for identifying persons in different scenes.
    Model
    Re-Identification Transformer
    NVIDIA
    SWIN Transformer based Re-Identification network to generate embeddings for identifying persons in different scenes.
    Model
    NGC Pre-Flight Check
    NVIDIA
    The Pre-Flight Check container verifies that the container runtime is setup correctly for GPUs and InfiniBand.
    Container
    LPDNet
    NVIDIA
    Object Detection network to detect license plates in an image of a car.
    Model
    monai_brats_mri_segmentation
    NVIDIA
    A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data.
    Model
    Optical Character Detection
    NVIDIA
    Network to detect characters in an image.
    Model
    Pre-trained DINO NvImageNet weights
    —
    Pre-trained DINO weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    Mask2Former
    NVIDIA
    Binary instance segmentation model trained on COCO data.
    Model
    Pre-trained FAN based NVImageNet Classification weights
    —
    Pre-trained FAN weights trained on NVImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    PointPillarNet
    NVIDIA
    Model to detect one or more objects from a LIDAR point cloud file and return 3D bounding boxes.
    Model
    CANDLE
    Open Source
    The CANDLE project is focused on facilitating cancer research with deep learning. The CANDLE software allows deep learning workflows to be deployed at large scale supercomputers.
    Container
    Optical Inspection
    —
    Model to detect defects in soldered components on a Printed Circuit Board.
    Model
    Pre-trained FAN based ImageNet Classification weights
    —
    Pre-trained FAN weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    Pre-trained Deformable DETR NvImageNet weights
    —
    Pre-trained deformable_detr weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    Optical Character Recognition
    NVIDIA
    Model to recognise characters from a preceding OCDNet model.
    Model

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