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ResearchGate VS ML5.js

Compare ResearchGate VS ML5.js and see what are their differences

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ResearchGate logo ResearchGate

Access scientific knowledge, and make your research visible

ML5.js logo ML5.js

Friendly machine learning for the web
  • ResearchGate Landing page
    Landing page //
    2023-06-27
  • ML5.js Landing page
    Landing page //
    2021-10-12

ResearchGate

Website
researchgate.net
$ Details
-
Release Date
2008 January
Startup details
Country
Germany
State
Berlin
City
Berlin
Founder(s)
Horst Fickenscher
Employees
250 - 499
Edit details

ML5.js

Website
ml5js.org
$ Details
Release Date
-
Edit details

ResearchGate features and specs

  • Networking Opportunities
    ResearchGate allows researchers to connect, collaborate, and communicate with others in their field.
  • Access to Research
    Users can access a wide range of publications, datasets, and other research outputs that may not be available elsewhere.
  • Visibility and Impact
    Researchers can increase the visibility of their work and track its impact through metrics such as views, downloads, and citations.
  • Collaborative Features
    The platform supports sharing and peer feedback, which can help improve the quality of research outputs.
  • Profile Customization
    Researchers can create detailed profiles showcasing their publications, projects, skills, and academic achievements.
  • Job Opportunities
    The platform features job postings and career development resources tailored to researchers and academics.
  • Discussion Forums
    ResearchGate includes forums where users can ask questions, share insights, and engage in scientific discussions.

Possible disadvantages of ResearchGate

  • Quality Control
    Not all uploaded content is peer-reviewed, which can result in the dissemination of lower-quality or erroneous research.
  • Copyright Issues
    Authors sometimes upload versions of their work without regard for copyright agreements, which can lead to legal complications.
  • Privacy Concerns
    The platform requests a significant amount of personal and professional information, which may raise privacy concerns for some users.
  • Spam and Unsolicited Messages
    Some users report receiving spam or unsolicited requests, which can be distracting and reduce the platform’s usability.
  • Metric Misuse
    Impact metrics like views and citations can be manipulated or misinterpreted, leading to skewed perceptions of a researcher’s influence.
  • Commercialization
  • User Interface
    Some users find the interface to be less intuitive compared to other academic networking platforms.

ML5.js features and specs

  • Ease of Use
    ml5.js is designed with simplicity in mind, making machine learning accessible to artists, creative coders, and students, even those without a robust background in AI or machine learning.
  • Browser-based
    Operates directly in the browser, eliminating the need for any additional setup or dependencies, which makes it highly compatible with web projects.
  • Pre-trained Models
    Includes a variety of pre-trained models for quick implementation of complex machine learning tasks like image classification, pose detection, and text generation.
  • Community and Documentation
    Strong community support and well-documented guides and examples help new users get started quickly and find solutions to common issues.
  • Integration with p5.js
    Integrates seamlessly with p5.js, a popular JavaScript library for creative coding, facilitating the development of interactive and visually engaging applications.

Possible disadvantages of ML5.js

  • Performance Limitations
    Since it runs in the browser, it may not be suitable for performance-intensive applications or those requiring real-time processing of large datasets.
  • Limited Customization
    While it offers pre-trained models, there is limited functionality for training new models from scratch compared to more comprehensive libraries like TensorFlow.js.
  • Dependency on Web Standards
    Depends on the performance and capabilities of the client's browser, which can vary significantly between different users and devices.
  • Size of Models
    Some pre-trained models can be quite large, which may affect loading times and performance on slower network connections or less powerful devices.
  • Scope
    Focused on high-level tasks and applications, which might not be sufficient for advanced machine learning requirements or niche functionalities outside its provided models.

Analysis of ResearchGate

Overall verdict

  • ResearchGate is generally good for researchers who are looking to increase the visibility of their work, engage with peers in similar fields, and access a wide range of academic resources. However, like any platform, it has its limitations, including occasional issues with copyright compliance and variable quality of user-uploaded content. Researchers should use it as a supplementary tool alongside other academic databases and networks.

Why this product is good

  • ResearchGate is often considered a valuable platform for researchers due to its ability to connect academics across the globe, facilitate the sharing of publications, and provide a venue for discussion and collaboration. It offers a centralized location for accessing a multitude of research papers and connecting with fellow researchers in similar fields, fostering an interactive academic community. Additionally, it can help researchers increase the visibility and reach of their work, potentially leading to more citations and collaboration opportunities.

Recommended for

  • Academic researchers seeking to increase the visibility of their work
  • Graduate students looking for resources and networking opportunities
  • University faculty searching for potential collaborators
  • Science enthusiasts interested in the latest research developments

Analysis of ML5.js

Overall verdict

  • ML5.js is considered a good tool for web developers who want to incorporate machine learning into their projects without needing extensive knowledge of the underlying algorithms. It's particularly noted for its simplicity and ease of use.

Why this product is good

  • ML5.js is a high-level JavaScript library built on top of TensorFlow.js. It is designed to make machine learning accessible to web developers with minimal expertise in machine learning or deep learning. The library provides easy-to-use functions for tasks such as image and video classification, pose detection, text generation, and more. Its simplicity and ease of integration make it ideal for rapid prototyping and educational purposes.

Recommended for

    ML5.js is recommended for educators, beginners, artists, and developers who want to quickly implement machine learning models in web applications. It is also suitable for creative coding projects and interactive applications where simplicity and ease of use are important.

ResearchGate videos

+ Add

What is ResearchGate & how can I use it?

More videos:

  • Review - ResearchGate, Academia.edu, and Social Networking Sites
  • Review - Selection of quality |Articles| |Journals| |ResearchGate| |Emerald| |Scopus|

ML5.js videos

+ Add

ml5.js: Train Your Own Neural Network

More videos:

  • Review - ml5.js: Image Classification with MobileNet
  • Review - Image classification to gif with ML5.js | Vue.js Virtual Meetup

Category Popularity

0-100% (relative to ResearchGate and ML5.js)

ResearchGate

ML5.js

Research Tools
100 100%
Research Tools
0% 0
AI
21 21%
AI
79% 79
Education
100 100%
Education
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

Share your experience with using ResearchGate and ML5.js. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, ResearchGate should be more popular than ML5.js. It has been mentiond 37 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.

ResearchGate mentions (37)

  • Looking for an Article - Social Representations
    I managed to download it from researchgate.net. Send me a DM if you want me to send you the PDF. Source: about 2 years ago
  • Numismatic reference works
    Academia.edu, researchgate.net, surprising amount of stuff out there. Hopefully you have. A library or institution to help you gain access if PDF not freely available. Source: about 2 years ago
  • Proof of life on Mars?
    Also, their assertions about publications are kinda hinky. I note that the "published articles" they cite are all links to researchgate.net rather than the actual journals, and the one DOI I tried didn't work, for a paper supposedly published in January. Google Scholar also has no record of that paper (Fossils on Mars? A “Cambrian Explosion” and “Burgess Shale” in Gale Crater?) other than the researchgate link. Source: over 2 years ago
  • Less known cause of RLS - my personal story
    So I looked around and pubmed didn't offer anything interesting though I found something on researchgate.net. Source: over 2 years ago
  • Research
    Check out researchgate.net. Madami dun and mostly free to access. Source: over 2 years ago
View more

ML5.js mentions (10)

  • How AI is Transforming Front-End Development in 2025!
    Ml5.js: Built on top of TensorFlow.js, it provides a user-friendly interface for implementing machine learning in web applications.​. - Source: dev.to / about 2 months ago
  • Riffr - Create Photo Montages in the Browser with some ML Magic✨
    Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 2 years ago
  • Brain.js: GPU Accelerated Neural Networks in JavaScript
    See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 3 years ago
  • [Showoff Saturday] I made a captcha prototype that requires a banana
    I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: over 3 years ago
  • My First 30 Days of 100 Days of Code.
    Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / over 3 years ago
View more

What are some alternatives?

When comparing ResearchGate and ML5.js, you can also consider the following products

Zotero - Zotero is a free, easy-to-use tool to help you collect, organize, cite, and share research.

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

Google Scholar - Google Scholar is a freely accessible web search engine that indexes the full text of scholarly...

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Mendeley - Easily organize your papers, read & annotate your PDFs, collaborate in private or open groups, and securely access your research from everywhere.

Apple Machine Learning Journal - A blog written by Apple engineers

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