Software Alternatives, Accelerators & Startups

Floyd VS Scale Nucleus

Compare Floyd VS Scale Nucleus and see what are their differences

Floyd logo Floyd

Heroku for deep learning

Scale Nucleus logo Scale Nucleus

The mission control for your ML data
  • Floyd Landing page
    Landing page //
    2023-03-20
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20

Floyd videos

How to: Floyd Bed and Purple Mattress + Review (Not Sponsored)

More videos:

  • Review - Floyd Bed Frame Setup and Review - Is it Supportive Enough?
  • Review - FLOYD (FLAT PACK) REVIEW/UNBOXING | THE SOFA + THE COFFEE TABLE + THE FLOYD BED | APARTMENT BUNDLE

Scale Nucleus videos

Using Scale Nucleus & Rapid to Label New Datasets Efficiently

More videos:

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

Category Popularity

0-100% (relative to Floyd and Scale Nucleus)
Data Science And Machine Learning
Developer Tools
22 22%
78% 78
AI
47 47%
53% 53
Tech
0 0%
100% 100

User comments

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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.

Floyd mentions (0)

We have not tracked any mentions of Floyd yet. Tracking of Floyd recommendations started around Mar 2021.

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

What are some alternatives?

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

Deep Learning Gallery - A curated list of awesome deep learning projects

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

Lobe - Visual tool for building custom deep learning models

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

Amazon Machine Learning - Machine learning made easy for developers of any skill level

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