Software Alternatives & Reviews

Tensorflow Research Cloud VS Aquarium

Compare Tensorflow Research Cloud VS Aquarium and see what are their differences

Tensorflow Research Cloud logo Tensorflow Research Cloud

Accelerating open machine learning research with Cloud TPUs

Aquarium logo Aquarium

Improve ML models by improving datasets they’re trained on
  • Tensorflow Research Cloud Landing page
    Landing page //
    2021-10-16
  • Aquarium Landing page
    Landing page //
    2023-09-26

Tensorflow Research Cloud videos

Free TPUs through Tensorflow Research Cloud

Aquarium videos

What Happened To This PRO Aquarium Fish Keeper?! | Fish Tank Review 34

More videos:

  • Review - Petsmart Top Fin 5 Gallon Glass Aquarium $49.99 Unboxing Review!

Category Popularity

0-100% (relative to Tensorflow Research Cloud and Aquarium)
AI
28 28%
72% 72
Developer Tools
26 26%
74% 74
APIs
36 36%
64% 64
Tech
33 33%
67% 67

User comments

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Social recommendations and mentions

Based on our record, Aquarium 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.

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.

Aquarium mentions (2)

  • Ask HN: Who is hiring? (November 2021)
    Aquarium (https://aquariumlearning.com/) | Remote Only (North American Timezones) | Full Time Aquarium is an ML data management system that helps ML teams improve their models by improving their datasets. Aquarium uncovers problems in your dataset, then helps you edit or add data to fix these problems and optimize your model performance. We are looking for our first Product Manager and are also hiring for... - Source: Hacker News / over 2 years ago
  • ML Data Management — A Primer
    #ML is maturing and teams are less concerned about having enough #data, but rather having the right data. ML data management tooling helps improve ML models by improving datasets. Check out our piece below that discusses trends in the space and startups like aquariumlearning.com, Tryunbox.ai, Lightly.ai, Scale, and Labelbox. https://medium.com/memory-leak/ml-data-management-a-primer-a635a5eac858. Source: over 2 years ago

What are some alternatives?

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

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

Scale Nucleus - The mission control for your ML data

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

Sourceful - A search engine for publicly-sourced Google docs

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

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