Header banner
Revain logoHome Page
apres logo

Apres Review

2

Β·

Very good

Revainrating 4 out of 5Β Β 
RatingΒ 
4.0
Artificial Intelligence, Data Labeling

View on AmazonView on Π―M

Description of Apres

Apres automates AI training with a platform to generate and manage high-quality AI training data at scale.

Reviews

Global ratings 2
  • 5
    0
  • 4
    2
  • 3
    0
  • 2
    0
  • 1
    0

Type of review

Revainrating 4 out of 5

Great service with easy to communicate fast response time

I've been using apress for years now, in different projects as an engineer/devops manager so it's very versatile tool if you need something that has many options (machine learning frameworks like pytorch) or just needs simple integration of tools such us ansible etc.. If any support team is required they respond really quick! They are one step ahead from where we were before when integrating them into our stack because everything was manual workflows but their whole approach helps getting…

Pros
  • Great user experience and support team, really fast and ready to help
Cons
  • Nothing really since i'm not using them all the time at the moment but maybe a bit more of API key per user access management in the future

Revainrating 4 out of 5

Very simple and fast way with great support

The ability for us as developers/data scientists in our organization, who have limited experience using machine learning tools such as R or Python is that we are able create models quickly without having expertise of ML toolkits like TensorFlow (or similar). We can use API's provided by apres which makes it easy for non technical people also understand how they work. Also there has been no complaints from my side till date! I would recommend this product if you want an open source solution…

Pros
  • Ease of Implementation
  • Easy configuration steps
  • Robust codebase with many plugins already prebuilt.
  • Fast implementation compared all others(Tensorflow , spark mllib) libraries when used individually
Cons
  • Only thing i dislike right now will be "API keys" feature but at least their documentation tells what should happen while deploying api