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/
☆13Updated 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:
- Imageinary is a reproducible mechanism which is used to generate large image datasets at various resolutions. The tool supports multiple …☆27Updated 2 years ago
- Extension to connect OpenPAI clusters, submit AI jobs, simulate jobs locally, manage files, and so on.☆14Updated 2 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
- Easy to use neural networks for NVIDIA Jetson (and desktop too!)☆73Updated 2 years ago
- ☆16Updated 4 years ago
- GUI tool for collecting & labeling data from live camera feed☆43Updated last year
- 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
- Reinforcement learning for self-driving in a 3D simulation☆20Updated 3 years ago
- ☆99Updated 10 months ago
- This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transfor…☆74Updated this week
- 3rd party dependencies for DALI project☆10Updated last week
- AI kiosk with a camera and a projector to visualize waste type of cafeteria objects☆33Updated 6 years ago
- Multimodal datasets for spatial intelligence☆36Updated last week
- A collection of reference AI microservices and workflows for Jetson Platform Services☆44Updated 6 months ago
- ☆110Updated last month
- Training of semantic segmentation networks with PyTorch☆35Updated 4 years ago
- TAO Toolkit deep learning networks with PyTorch backend☆98Updated 2 weeks ago
- GPU Environment Management for Visual Studio Code☆39Updated 2 years ago
- Zero-copy multimodal vector DB with CUDA and CLIP/SigLIP☆61Updated 3 months 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☆25Updated 3 years ago
- Applied Deep Learning and Computer Vision for Self-Driving Cars, published by Packt☆71Updated 2 years ago
- 10k images for unsupervised depthnets☆39Updated 3 years ago
- A top-like tool for monitoring GPUs in a cluster☆85Updated last year
- Tutorial on how to setup your system with a NVIDIA GPU and to install Deep Learning Frameworks like TensorFlow, Darknet for YOLO, Theano,…☆72Updated 5 years ago
- Web-based tool to convert model into MyriadX blob☆17Updated last month
- A collection of machine-learned models for use in autonomous driving applications.☆64Updated 2 years 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
- ROS 2 package for NVIDIA DeepStream applications on Jetson Platforms☆94Updated last year
- A portal for direct sale between farmers and consumers.☆9Updated 4 years ago
- A semi-synthetic dataset generation tool, specifically crafted for CNN training in drone racing.☆12Updated 2 years ago