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Scale Nucleus VS Tensorflow Research Cloud

Compare Scale Nucleus VS Tensorflow Research Cloud and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Scale Nucleus logo Scale Nucleus

The mission control for your ML data

Tensorflow Research Cloud logo Tensorflow Research Cloud

Accelerating open machine learning research with Cloud TPUs
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20
  • Tensorflow Research Cloud Landing page
    Landing page //
    2021-10-16

Scale Nucleus videos

+ Add

Using Scale Nucleus & Rapid to Label New Datasets Efficiently

More videos:

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

Tensorflow Research Cloud videos

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Free TPUs through Tensorflow Research Cloud

Category Popularity

0-100% (relative to Scale Nucleus and Tensorflow Research Cloud)

Scale Nucleus

Tensorflow Research Cloud

Developer Tools
69 69%
Developer Tools
31% 31
AI
67 67%
AI
33% 33
Tech
68 68%
Tech
32% 32
APIs
59 59%
APIs
41% 41

User comments

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

Based on our record, Scale Nucleus seems to be more popular. It has been mentiond 2 times since March 2021. 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

Tensorflow Research Cloud mentions (0)

We have not tracked any mentions of Tensorflow Research Cloud yet. Tracking of Tensorflow Research Cloud recommendations started around Mar 2021.

What are some alternatives?

When comparing Scale Nucleus and Tensorflow Research Cloud, you can also consider the following products

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

Google Cloud TPUs - Build and train machine learning models with Google

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

Topic Research by SEMrush - Content ideas that resonate with your audience

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

Pixave - The ultimate image organizer for the Mac.

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