Core ML

Core ML

Apple
Activeloop Core ML

Related Products

  • Gemini platform
    4.3 out of 5 stars 1,178 Ratings
    Visit Website for Gemini platform
  • Compute with Hivenet
    5.0 out of 5 stars 4 Ratings
    Visit Website for Compute with Hivenet
  • Runpod
    4.2 out of 5 stars 230 Ratings
    Visit Website for Runpod
  • Qloo
    5.0 out of 5 stars 23 Ratings
    Visit Website for Qloo
  • Google Cloud BigQuery
    4.5 out of 5 stars 2,037 Ratings
    Visit Website for Google Cloud BigQuery
  • LTX
    4.4 out of 5 stars 182 Ratings
    Visit Website for LTX
  • Apify
    4.8 out of 5 stars 1,859 Ratings
    Visit Website for Apify
  • net2phone
    4.4 out of 5 stars 197 Ratings
    Visit Website for net2phone
  • LM-Kit.NET
    4.8 out of 5 stars 29 Ratings
    Visit Website for LM-Kit.NET
  • BAND
    5.0 out of 5 stars 3 Ratings
    Visit Website for BAND
Activeloop:

About

Activeloop provides a continuous learning infrastructure for teams building software, agents, and data pipelines. Its core product, Deeplake, is the GPU database for agents, built around the idea that if your AI is on a GPU, your data should be too. Deeplake is designed to keep AI agents grounded, versioned, queryable, and GPU-native by combining vector and tensor data in one store, with GPU streaming to fine-tuning and a serverless Postgres interface. It gives teams a data engine for multimodal AI, allowing them to store, index, search, and stream data to models and agents. Instead of treating AI data as scattered files, embeddings, metadata, and traces across disconnected systems, Activeloop brings them into an infrastructure that can support retrieval, model development, fine-tuning, and agent memory workflows. It also includes Hivemind, where agent traces become team skills, so work solved once can be shared across the organization through trajectory capture.
Core ML:

About

Core ML applies a machine learning algorithm to a set of training data to create a model. You use a model to make predictions based on new input data. Models can accomplish a wide variety of tasks that would be difficult or impractical to write in code. For example, you can train a model to categorize photos or detect specific objects within a photo directly from its pixels. After you create the model, integrate it in your app and deploy it on the user’s device. Your app uses Core ML APIs and user data to make predictions and to train or fine-tune the model. You can build and train a model with the Create ML app bundled with Xcode. Models trained using Create ML are in the Core ML model format and are ready to use in your app. Alternatively, you can use a wide variety of other machine learning libraries and then use Core ML Tools to convert the model into the Core ML format. Once a model is on a user’s device, you can use Core ML to retrain or fine-tune it on-device.
Activeloop:

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
Core ML:

Platforms Supported

Windows Not Supported
Mac Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Not Supported
Chromebook Not Supported
Activeloop:

Audience

Software building teams that need GPU-native data, memory, and continuous learning systems for multimodal AI applications
Core ML:

Audience

Developers in search of a solution to integrate machine learning models into their apps
Activeloop:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Core ML:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Activeloop:

API

Offers API Not Supported
Core ML:

API

Offers API Supported
Activeloop:

Screenshots and Videos

Core ML:

Screenshots and Videos

Activeloop:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Core ML:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Activeloop:

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
Core ML:

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
Activeloop:

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported
Core ML:

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported
Activeloop:

Company Information

Activeloop
Founded: 2018
United States
www.activeloop.ai/
Core ML:

Company Information

Apple
United States
developer.apple.com/documentation/coreml
Activeloop:

Alternatives

Core ML:

Alternatives

Create ML

Create ML

Apple
Activeloop:
Tuning Engines

Tuning Engines

CerebrixOS
Core ML:
Activeloop:
Gemini platform

Gemini platform

Google
4.3 out of 5 stars
Core ML:
Activeloop:
Core ML:
Activeloop:
Core ML:
Activeloop:

Categories

Machine Learning Supported
Core ML:

Categories

Activeloop:

Integrations

Apple tvOS Not Supported
Apple watchOS Not Supported
Deeplake Supported
Xcode Not Supported
Core ML:

Integrations

Apple tvOS Supported
Apple watchOS Supported
Deeplake Not Supported
Xcode Supported
Activeloop:
Claim Activeloop and update features and information
Claim Activeloop and update features and information
Core ML:
Claim Core ML and update features and information
Claim Core ML and update features and information