NVIDIA / fleet-command
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/
☆12Updated 2 years ago
Alternatives and similar repositories for fleet-command:
Users that are interested in fleet-command are comparing it to the libraries listed below
- TAO Toolkit deep learning networks with TensorFlow 1.x backend☆13Updated last year
- ☆93Updated 5 months ago
- 3rd party dependencies for DALI project☆10Updated last week
- Easy to use neural networks for NVIDIA Jetson (and desktop too!)☆75Updated 2 years ago
- 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…☆16Updated 3 years ago
- TAO best practices. How to adapt for a new domain, new classes, and generalize the model with a small dataset using Nvidia's TAO toolkit☆24Updated 2 years ago
- ☆32Updated last year
- A Grafana dashboard driven by a Prometheus metrics collector for monitoring NVIDIA Jetson devices☆41Updated 3 years ago
- ROS 2 package for NVIDIA DeepStream applications on Jetson Platforms☆88Updated 8 months ago
- Quick start scripts and tutorial notebooks to get started with TAO Toolkit☆70Updated 6 months ago
- ROS 2 package for "trt_pose": real-time human pose estimation on NVIDIA Jetson Platform☆68Updated 4 years ago
- GUI tool for collecting & labeling data from live camera feed☆42Updated 9 months ago
- Sample showing how to use YOLOv5 with Nvidia Isaac ROS DNN Inference☆42Updated 2 years ago
- General policies for MLPerf™ including submission rules, coding standards, etc.☆28Updated last month
- A collection of reference AI microservices and workflows for Jetson Platform Services☆35Updated last month
- Web-based tool to convert model into MyriadX blob☆16Updated 5 months ago
- Sample implementation of 3D object detection with Intel OpenVINO☆15Updated 4 years ago
- Training of semantic segmentation networks with PyTorch☆34Updated 4 years ago
- TAO Toolkit deep learning networks with PyTorch backend☆91Updated 4 months ago
- Sample app code for deploying TAO Toolkit trained models to Triton☆86Updated 6 months ago
- Visualization tool for 3D bounding box results of TAO-PointPillars☆32Updated 2 years ago
- PyTorch ObjectDetection Modules and ONNX ops☆18Updated last year
- ☆16Updated 3 years ago
- Udacity Self-Driving Car Engineer.☆21Updated 4 years ago
- ☆13Updated 6 years ago
- Repository for ONNX working group artifacts☆24Updated last month
- ☆38Updated 3 years ago
- NVIDIA-accelerated, deep learned depth segmentation and obstacle field ranging using Bi3D☆50Updated 2 weeks ago
- Training of visual odometry estimation networks using PyTorch☆16Updated 5 years ago
- A project demonstrating how to train your own gesture recognition deep learning pipeline. We start with a pre-trained detection model, re…☆42Updated 8 months ago