Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Create ML
Experience an entirely new way of training machine learning models on your Mac. Create ML takes the complexity out of model training while producing powerful Core ML models.
Discover Create ML Features
Create Core ML models
Build and train powerful on-device models with an easy-to-use app interface.
Multi-model training
Train multiple models using different datasets, all in a single project.
Model previews
Preview your model performance using Continuity with your iPhone camera and microphone on your Mac, or drop in sample data.
Training control
Pause, save, resume, and extend your training process.
On-device training
Train models blazingly fast right on your Mac while taking advantage of CPU and GPU.
eGPU training support
Use an external graphics processing unit with your Mac for even better model training performance.
Model Types
Create ML has a variety of model types to choose from. Just select a model type in the app and add your data and parameters to start training.
Image
Image classification
Object detection
Style transferNEW
Video
Action classificationNEW
Style transferNEW
Motion
Activity classification
Sound
Sound classification
Text
Text classification
Word tagging
Tabular
Tabular classification
Tabular regression
Recommendation
Getting Started
Use to the Developer Tools menu in Xcode 11 or later to open Create ML.