Create ML
Create ML revolutionizes machine learning on Mac by simplifying model training without sacrificing power. Users can train multiple models within a single project, utilize object tracking, and visualize data to resolve issues. Enhanced with new Swift APIs, it offers rapid training leveraging CPU and GPU capabilities while ensuring user privacy.
Top Create ML Alternatives
Azure Machine Learning
Azure Machine Learning simplifies the creation of machine learning models, enhancing accessibility and efficiency for developers and data scientists.
Amazon SageMaker Studio Lab
A free machine learning development environment, Amazon SageMaker Studio Lab offers up to 15GB of storage and robust security without requiring an AWS account.
Google Cloud Vertex AI Workbench
Vertex AI Workbench delivers a powerful JupyterLab experience tailored for data scientists, enabling seamless integration with Google Cloud's big data solutions.
Amazon EC2 Capacity Blocks for ML
Amazon EC2 Capacity Blocks for ML allows users to secure accelerated compute instances tailored for machine learning tasks.
ML Kit
ML Kit empowers mobile developers by providing a suite of on-device machine learning capabilities.
Amazon EC2 Inf1 Instances
Amazon EC2 Inf1 instances are tailored for high-performance, cost-effective machine learning inference.
Amazon EC2 UltraClusters
Co-located in AWS Availability Zones with Elastic Fabric Adapter networking, they enable rapid processing of...
Apache PredictionIO
Integrated with a robust stack, including Apache Spark and Elasticsearch, it streamlines real-time data processing...
Amazon Lookout for Metrics
By integrating with AWS services and third-party applications, it summarizes root causes, ranks them by...
Explorium
By translating natural language queries into actionable insights, agents can identify targeted leads and create...
Amazon Monitron
Utilizing wireless sensors to collect vibration and temperature data, it facilitates secure data transmission to...
Stan
Its versatile programming language accommodates applications ranging from linear regression to multi-level models...
Amazon SageMaker Autopilot
It intelligently handles missing data, provides statistical insights, and optimizes model selection for various predictions...
Numenta
This nonprofit initiative emphasizes a sensorimotor framework, aiming to enhance AI capabilities and redefine technological...
Top Create ML Features
- Machine learning sessions and documentation
- Sample code integration
- Object tracking template
- Data preview functionality
- Swift APIs for model training
- Train multiple models simultaneously
- Pause and resume training
- Visualize and inspect data
- Continuity performance preview
- Interactive model evaluation
- Explore key metrics connections
- Variety of model types
- Programmatic model creation
- Dynamic feature building
- User privacy preservation
- External GPU support
- Fast CPU and GPU training
- Core ML model output
- Customized model training workflow
- Integration with Xcode tools.
Top Create ML Alternatives
- Azure Machine Learning
- Amazon SageMaker Studio Lab
- Google Cloud Vertex AI Workbench
- Amazon EC2 Capacity Blocks for ML
- ML Kit
- Amazon EC2 Inf1 Instances
- ioModel
- Amazon EC2 UltraClusters
- Apache PredictionIO
- Amazon Lookout for Metrics
- Explorium
- Amazon Monitron
- Stan
- Amazon SageMaker Autopilot
- Numenta
