NVIDIA / fleet-commandLinks
NVIDIA Fleet Command is a hybrid-cloud platform for securely and remotely deploying, managing, and scaling AI across dozens or up to thousands of servers or edge devices. For more info please refer to https://www.nvidia.com/en-us/data-center/products/fleet-command/
☆14Updated 3 years ago
Alternatives and similar repositories for fleet-command
Users that are interested in fleet-command are comparing it to the libraries listed below
Sorting:
- A project demonstration on how to use the GigE camera to do the DeepStream Yolo3 object detection, how to set up the GigE camera, and dep…☆17Updated 3 years ago
- Extension to connect OpenPAI clusters, submit AI jobs, simulate jobs locally, manage files, and so on.☆15Updated 3 years ago
- ☆16Updated 4 years ago
- Imageinary is a reproducible mechanism which is used to generate large image datasets at various resolutions. The tool supports multiple …☆27Updated 2 years ago
- Easy to use neural networks for NVIDIA Jetson (and desktop too!)☆73Updated 3 years ago
- Run multiple independent anomaly detection (object flaws and motor defects) workloads on a single system via multiple virtual machines us…☆23Updated 2 years ago
- GUI tool for collecting & labeling data from live camera feed☆43Updated last year
- GPU Environment Management for Visual Studio Code☆39Updated 2 years ago
- A small and fast image rescaling library with SIMD support☆22Updated 4 months ago
- Training of semantic segmentation networks with PyTorch☆34Updated 4 years ago
- 3rd party dependencies for DALI project☆10Updated this week
- ☆14Updated 2 years ago
- ☆119Updated last week
- ☆33Updated 3 weeks ago
- This is repository of AI artifacts, datasets, training help. If you have any suggestions please feel free to let me know☆21Updated 6 years ago
- Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.