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Cybersecurity
Edge Computing
Recommenders / Personalization
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MONAI Toolkit
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NVIDIA MONAI
MONAI Toolkit
Contents
Contents
Getting Started
Overview
Project MONAI
NVIDIA MONAI
NVIDIA MONAI Toolkit
Key Features
Components
MONAI Label
MONAI Core
MONAI Model Zoo
Onboarding Resources
Target Users
Additional Resources
Quickstart Guide
Running the MONAI Toolkit JupyterLab Instance
Running the MONAI Toolkit in Interactive Bash
Changing Shared Memory Segment Size
Access the JupyterLab Remotely
Running the JupyterLab Instance on a Remote Host Machine
Mount Custom Data Directory
Configure JupyterLab
Toolkit Support Matrix
Software Versions
Pre-trained Models
Viewers, Modalities and Applications
System Requirements
Installation Prerequisites
Recommended Software Versions
Hardware Requirements
Toolkit Overview
Module Overview
Module 1. Getting Started
Module 2. Using MONAI Label
Module 3. Using MONAI Core
Module 4. MONAI Federated Learning
Module 5. Performance and Benchmarking
Performance Benchmarks
Benchmark 1: DiNTS, SegResNet (3D), and SwinUNETR Algorithms
Benchmark 2: SSL Algorithm
Using Toolkit on NVIDIA Base Command Platform
Overview
Setting Up Your NGC CLI
Launching an Interactive Job with Jupyter Lab
Creating a Job to Start a Server Using MONAI Toolkit - Quickstart
Job Overview
Accessing the External URL for Jupyter Lab
Job Details
Finding the External URL
Getting the Jupyter Lab Token
MONAI Toolkit Landing Page
Closing the Toolkit Instance
Q&A
Next
Overview
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Last updated on Jul 10, 2024.
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