Software Alternatives & Reviews

Deep Learning Gallery VS AETROS

Compare Deep Learning Gallery VS AETROS and see what are their differences

Deep Learning Gallery logo Deep Learning Gallery

A curated list of awesome deep learning projects

AETROS logo AETROS

Create, train and monitor deep neural networks
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  • AETROS Landing page
    Landing page //
    2023-07-18

Category Popularity

0-100% (relative to Deep Learning Gallery and AETROS)
AI
67 67%
33% 33
Data Science And Machine Learning
Games
0 0%
100% 100
Developer Tools
63 63%
37% 37

User comments

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Social recommendations and mentions

Based on our record, AETROS seems to be more popular. It has been mentiond 1 time 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.

Deep Learning Gallery mentions (0)

We have not tracked any mentions of Deep Learning Gallery yet. Tracking of Deep Learning Gallery recommendations started around Mar 2021.

AETROS mentions (1)

  • Introducing Deepkit ORM, a high performance ORM for TypeScript
    Deepkit ORM is one of a whole collection of high performance libraries written in the last years for my need in developing complex isomorphic TypeScript applications (like for example https://deepkit.ai). Since we approach the beta version I'd like to introduce you to one of its flagship libraries, the ORM, and collect feedback. So, if you are interested, please keep reading and drop me a comment about your thoughts! Source: almost 3 years ago

What are some alternatives?

When comparing Deep Learning Gallery and AETROS, you can also consider the following products

Lobe - Visual tool for building custom deep learning models

Colornet - Neural Network to colorize grayscale images

Facebook.ai - Everything you need to take AI from research to production

Quick Draw Game - Can a neural network learn to recognize doodles?

Floyd - Heroku for deep learning

TensorFlow Lite - Low-latency inference of on-device ML models