Software Alternatives, Accelerators & Startups

Continual VS ML ART

Compare Continual VS ML ART and see what are their differences

Continual logo Continual

Continual is the easiest way to build continually improving predictive models - from customer churn to inventory forecasts - directly on your cloud data warehouse.

ML ART logo ML ART

A visual index with 340 creative Machine Learning projects!
  • Continual Landing page
    Landing page //
    2023-08-24
  • ML ART Landing page
    Landing page //
    2022-05-08

Continual videos

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ML ART videos

Make ML Art With Google Colab: Week 4 (StyleGAN2 Notebook Overview)

More videos:

  • Review - Intro to ML Art with RunwayML: Week 2

Category Popularity

0-100% (relative to Continual and ML ART)
AI
37 37%
63% 63
Developer Tools
42 42%
58% 58
Data Science And Machine Learning
Art
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Continual 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.

Continual mentions (1)

  • Thoughts on SQL based auto-ML style tools
    Does anyone here use tools such as continual or postgresml? Basically ml on sql tools. Source: about 2 years ago

ML ART mentions (0)

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

What are some alternatives?

When comparing Continual and ML ART, you can also consider the following products

Lobe - Visual tool for building custom deep learning models

Best of Machine Learning - A collection of the best resources in Machine Learning & AI

anon - Machine learning, automated

Evidently AI - Open-source monitoring for machine learning models

ML Showcase - A curated collection of machine learning projects

Fritz - Fritz is the world’s most popular chess program, developed by ChessBase, “the world's leading...