Tutorials

Model Management

Name	Description	Notebook
Introduction	Getting started with Model Management
The AI Library	Inference and train models from our library
Create a New Model SDK	Create a model from scratch
Create a New Model UI	Create a model from the UI
New Model - Torchvision Example	Full model adapter creation using torchvision
Advanced Tutorials	More Model Management usage
Log Metrics	Upload logs and metrics
Model Annotations	Upload and filter model predictions annotations
Train Models Locally - Classification	Download AI Library Models to Train Offline
Train Models Locally - Object Detection	Download AI Library Models to Train Offline
Using Dataloop's Dataset Generator	Use the SDK and the Dataset Tools to iterate, augment and serve the data to your model
Model Adapter Methods and Flows	Understand the wrapper function of the model adapter