Create ML vs. PyTorch Comparison


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About 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. Train multiple models using different datasets, all in a single project. Preview your model performance using Continuity with your iPhone camera and microphone on your Mac, or drop in sample data. Pause, save, resume, and extend your training process. Interactively learn how your model performs on test data from your evaluation set. Explore key metrics and their connections to specific examples to help identify challenging use cases, further investments in data collection, and opportunities to help improve model quality. Use an external graphics processing unit with your Mac for even better model training performance. Train models blazingly fast right on your Mac while taking advantage of CPU and GPU. Create ML has a variety of model types to choose from.	About Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Supported iPad Supported Android Supported Chromebook Not Supported
Audience Professional users seeking a tool to train multiple machine learning models using different datasets	Audience Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported
Company Information Apple United States developer.apple.com/machine-learning/create-ml/	Company Information PyTorch Founded: 2016 pytorch.org
Alternatives 3LC	Alternatives TensorFlow
Amazon SageMaker Model Training Amazon	Core ML Apple
Tencent Cloud TI Platform Tencent	Create ML Apple
Baidu AI Cloud Machine Learning (BML) Baidu	DeepSpeed Microsoft
FinetuneFast View All	AWS Neuron Amazon Web Services View All
Categories AI/ML Model Training Supported Machine Learning Supported	Categories AI Development Supported AI/ML Model Training Supported Machine Learning Supported Neural Network Supported

Integrations Amazon EC2 Capacity Blocks for ML Not Supported Amazon EC2 Trn1 Instances Not Supported Amazon SageMaker Studio Lab Not Supported BentoML Not Supported Cameralyze Not Supported Daft Not Supported GPUEater Not Supported GPUonCLOUD Not Supported Gemma 2 Not Supported Gradient Not Supported Lightly Not Supported NVIDIA TensorRT Not Supported NodeShift Not Supported Runpod Not Supported Runyour AI Not Supported SiMa Not Supported Superwise Not Supported Zepl Not Supported vLLM Not Supported Show More Integrations	Integrations Amazon EC2 Capacity Blocks for ML Supported Amazon EC2 Trn1 Instances Supported Amazon SageMaker Studio Lab Supported BentoML Supported Cameralyze Supported Daft Supported GPUEater Supported GPUonCLOUD Supported Gemma 2 Supported Gradient Supported Lightly Supported NVIDIA TensorRT Supported NodeShift Supported Runpod Supported Runyour AI Supported SiMa Supported Superwise Supported Zepl Supported vLLM Supported Show More Integrations View All 150 Integrations
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