Software Alternatives & Reviews

Papers with Code VS Monitor ML

Compare Papers with Code VS Monitor ML and see what are their differences

Papers with Code logo Papers with Code

The latest in machine learning at your fingerprints

Monitor ML logo Monitor ML

Real-time production monitoring of ML models, made simple.
  • Papers with Code Landing page
    Landing page //
    2022-07-17
  • Monitor ML Landing page
    Landing page //
    2021-10-12

Papers with Code videos

The best site for research papers with codes on Machine/Deep Learning | Research paper search

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  • Review - Papers With Code Machine Learning Papers and Code Free Resource

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Category Popularity

0-100% (relative to Papers with Code and Monitor ML)
AI
63 63%
37% 37
Developer Tools
43 43%
57% 57
Data Science And Machine Learning
Tech
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Papers with Code seems to be more popular. It has been mentiond 96 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.

Papers with Code mentions (96)

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Monitor ML mentions (0)

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

What are some alternatives?

When comparing Papers with Code and Monitor ML, you can also consider the following products

ML5.js - Friendly machine learning for the web

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

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

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