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Clever Cloud VS Apple Machine Learning Journal

Compare Clever Cloud VS Apple Machine Learning Journal and see what are their differences

Clever Cloud logo Clever Cloud

Clever Cloud helps developers deploy and run their apps with bulletproof infrastructure, automatic scaling, fair pricing and other cool features.

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • Clever Cloud Landing page
    Landing page //
    2023-10-18
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Clever Cloud videos

A Quick Overview of Clever Cloud

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  • Review - Beer Review#23 Clever Cloud NE IPA

Apple Machine Learning Journal videos

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Category Popularity

0-100% (relative to Clever Cloud and Apple Machine Learning Journal)
Cloud Hosting
100 100%
0% 0
AI
0 0%
100% 100
Cloud Computing
100 100%
0% 0
Developer Tools
0 0%
100% 100

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Social recommendations and mentions

Based on our record, Apple Machine Learning Journal should be more popular than Clever Cloud. It has been mentiond 6 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.

Clever Cloud mentions (2)

  • Upgrade your JHipster project to Java 17
    At BearStudio, we are using CleverCloud which allows to edit the target Java version very easily thanks the CC_JAVA_VERSION environment variable, which set up to 17 before saving your changes. - Source: dev.to / about 2 years ago
  • Access logs on Node JS with Winston, Morgan, and storage on Elasticsearch
    At Promyze, our PaaS provider CleverCloud offers many great features and add-ons to run Web apps. However, there are currently limitations for managing access logs and route them to an external system, such as an ELK stack. CleverCloud allows for draining server logs to Elasticsearch, but there's no parsing option, and our logs are considered a single string object. - Source: dev.to / over 2 years ago

Apple Machine Learning Journal mentions (6)

  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?
    We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
  • [D] Is anyone working on open-sourcing Dall-E 2?
    They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
  • How does Apple achieve both secrecy and quality for a release?
    Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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What are some alternatives?

When comparing Clever Cloud and Apple Machine Learning Journal, you can also consider the following products

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

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

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.

Lobe - Visual tool for building custom deep learning models