Software Alternatives & Reviews

Apple Machine Learning Journal VS Censius.ai

Compare Apple Machine Learning Journal VS Censius.ai and see what are their differences

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers

Censius.ai logo Censius.ai

Building the future of MLOps
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13
  • Censius.ai Landing page
    Landing page //
    2023-10-04

Censius is an AI Observability Platform that enables enterprises of all sizes to confidently deploy their machine learning models into production. The company's flagship AI observability platform helps data science initiatives become more accountable and explainable. This all-in-one ML monitoring system allows you to proactively monitor end-to-end ML pipelines for drift, skew, data integrity, and data quality concerns.

Censius.ai

Website
censius.ai
$ Details
paid Free Trial
Platforms
Azure AWS
Release Date
2021 December

Apple Machine Learning Journal features and specs

No features have been listed yet.

Censius.ai features and specs

  • Explainability: Yes
  • Performance monitoring : Yes
  • Drift monitoring : Yes
  • Dashboards: Yes

Apple Machine Learning Journal videos

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Censius.ai videos

Censius Platform Introduction

Category Popularity

0-100% (relative to Apple Machine Learning Journal and Censius.ai)
AI
78 78%
22% 22
Developer Tools
76 76%
24% 24
Data Science And Machine Learning
Tech
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apple Machine Learning Journal seems to be more popular. 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.

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: 12 months 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 / almost 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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Censius.ai mentions (0)

We have not tracked any mentions of Censius.ai yet. Tracking of Censius.ai recommendations started around Jul 2022.

What are some alternatives?

When comparing Apple Machine Learning Journal and Censius.ai, you can also consider the following products

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

iko.ai - Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Evidently AI - Open-source monitoring for machine learning models

Lobe - Visual tool for building custom deep learning models

JarvisLabs.ai - Let's make AI simple