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Scale Nucleus VS Layer AI

Compare Scale Nucleus VS Layer AI and see what are their differences

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Scale Nucleus logo Scale Nucleus

The mission control for your ML data

Layer AI logo Layer AI

Layer helps you create production-grade ML pipelines with a seamless local↔cloud transition while enabling collaboration with semantic versioning, extensive artifact logging and dynamic reporting.
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20
  • Layer AI Landing page
    Landing page //
    2023-08-18

Scale Nucleus videos

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Using Scale Nucleus & Rapid to Label New Datasets Efficiently

More videos:

  • Review - Scale Nucleus: Send to Annotation
  • Review - Scale Nucleus: Find Missing Annotations

Layer AI videos

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Category Popularity

0-100% (relative to Scale Nucleus and Layer AI)

Scale Nucleus

Layer AI

Developer Tools
100 100%
Developer Tools
0% 0
AI
63 63%
AI
37% 37
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Tech
100 100%
Tech
0% 0

User comments

Share your experience with using Scale Nucleus and Layer AI. For example, how are they different and which one is better?
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Social recommendations and mentions

Layer AI might be a bit more popular than Scale Nucleus. We know about 2 links to it since March 2021 and only 2 links to Scale Nucleus. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Scale Nucleus mentions (2)

  • [Discussion] The most painful thing about machine learning
    At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
  • Unit Testing for Production ML Workflows?
    To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago

Layer AI mentions (2)

  • Valve responded to the alleged "banning" of AI generated games on Steam
    Doubt it if you look at AI Solutions and Technologies for Gaming | Unity - Asset Store and read through the documentation Product | Layer Help Center of layer.ai which Unity designates as a verified solution it is pretty obvious that layer.ai is nothing more than Stable Diffusion with a nice interface. Source: 11 months ago
  • [D] Build, train and track machine learning models using Superwise and Layer
    This illustrates how you can use Layer and Amazon SageMaker to deploy a machine learning model and track it using Superwise. Amazon SageMaker enables you to build, train and deploy machine learning models. Source: almost 2 years ago

What are some alternatives?

When comparing Scale Nucleus and Layer AI, you can also consider the following products

PerceptiLabs - A tool to build your machine learning model at warp speed.

integrate.ai - Extend your product to train ML models on distributed data

Aquarium - Improve ML models by improving datasets they’re trained on

Akkio - No-Code AI models right from your browser

ML Image Classifier - Quickly train custom machine learning models in your browser

Init.ai - Init.ai is the simplest way to build, train, and deploy intelligent conversational apps

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