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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Discover a revolutionary approach to training machine learning models directly on your Mac with Create ML, which simplifies the process while delivering robust Core ML models. You can train several models with various datasets all within one cohesive project. Utilize Continuity to preview your model's performance by connecting your iPhone's camera and microphone to your Mac, or simply input sample data for evaluation. The training process allows you to pause, save, resume, and even extend as needed. Gain insights into how your model performs against test data from your evaluation set and delve into essential metrics, exploring their relationships to specific examples, which can highlight difficult use cases, guide further data collection efforts, and uncover opportunities to enhance model quality. Additionally, if you want to elevate your training performance, you can integrate an external graphics processing unit with your Mac. Experience the lightning-fast training capabilities available on your Mac that leverage both CPU and GPU resources, and take your pick from a diverse selection of model types offered by Create ML. This tool not only streamlines the training process but also empowers users to maximize the effectiveness of their machine learning endeavors.

Description

Effortlessly switch between eager and graph modes using TorchScript, while accelerating your journey to production with TorchServe. The torch-distributed backend facilitates scalable distributed training and enhances performance optimization for both research and production environments. A comprehensive suite of tools and libraries enriches the PyTorch ecosystem, supporting development across fields like computer vision and natural language processing. Additionally, PyTorch is compatible with major cloud platforms, simplifying development processes and enabling seamless scaling. You can easily choose your preferences and execute the installation command. The stable version signifies the most recently tested and endorsed iteration of PyTorch, which is typically adequate for a broad range of users. For those seeking the cutting-edge, a preview is offered, featuring the latest nightly builds of version 1.10, although these may not be fully tested or supported. It is crucial to verify that you meet all prerequisites, such as having numpy installed, based on your selected package manager. Anaconda is highly recommended as the package manager of choice, as it effectively installs all necessary dependencies, ensuring a smooth installation experience for users. This comprehensive approach not only enhances productivity but also ensures a robust foundation for development.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

3LC No 
AWS EC2 Trn3 Instances No 
Amazon EC2 G5 Instances No 
Apolo No 
BHK Cloud No 
Dataoorts GPU Cloud No 
Domino Enterprise AI Platform No 
EdgeCortix No 
Fabric for Deep Learning (FfDL) No 
GLM-5.3 No 
GPUonCLOUD No 
Gemini Enterprise Agent Platform Notebooks No 
Google Cloud Deep Learning VM Image No 
Gradient No 
Humtap No 
Keepsake No 
NVIDIA DeepStream SDK No 
PaliGemma 2 No 
Runpod No 
Runyour AI No 

Integrations

3LC Yes 
AWS EC2 Trn3 Instances Yes 
Amazon EC2 G5 Instances Yes 
Apolo Yes 
BHK Cloud Yes 
Dataoorts GPU Cloud Yes 
Domino Enterprise AI Platform Yes 
EdgeCortix Yes 
Fabric for Deep Learning (FfDL) Yes 
GLM-5.3 Yes 
GPUonCLOUD Yes 
Gemini Enterprise Agent Platform Notebooks Yes 
Google Cloud Deep Learning VM Image Yes 
Gradient Yes 
Humtap Yes 
Keepsake Yes 
NVIDIA DeepStream SDK Yes 
PaliGemma 2 Yes 
Runpod Yes 
Runyour AI Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apple

Country

United States

Website

developer.apple.com/machine-learning/create-ml/

Vendor Details

Company Name

PyTorch

Founded

2016

Website

pytorch.org

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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