process-google-dataset VS Dannjs

Compare process-google-dataset vs Dannjs and see what are their differences.

process-google-dataset

Process Google Dataset is a tool to download and process images for neural networks from a Google Image Search using a Chrome extension and a simple Python code. (by masesk)
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process-google-dataset Dannjs
1 10
33 428
- -
0.0 0.0
over 3 years ago over 2 years ago
JavaScript JavaScript
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

process-google-dataset

Posts with mentions or reviews of process-google-dataset. We have used some of these posts to build our list of alternatives and similar projects.

Dannjs

Posts with mentions or reviews of Dannjs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-07.

What are some alternatives?

When comparing process-google-dataset and Dannjs you can also consider the following projects:

blackjack-basic-strategy - A computer vision powered Blackjack basic strategy app powered by Roboflow.

Synapses - A group of neural-network libraries for functional and mainstream languages

picovoice - On-device voice assistant platform powered by deep learning

Keras.js - Run Keras models in the browser, with GPU support using WebGL

live-digit-recognition - 🔢 Computer will recognize the digits you wrote on a beautiful web-interface

Brain.js - Simple feed-forward neural network in JavaScript

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Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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