SkinCancerDetection VS BlocklyML

Compare SkinCancerDetection vs BlocklyML and see what are their differences.

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SkinCancerDetection BlocklyML
3 8
9 433
- -
0.0 3.2
almost 2 years ago 8 months ago
JavaScript JavaScript
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

SkinCancerDetection

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

BlocklyML

Posts with mentions or reviews of BlocklyML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-27.

What are some alternatives?

When comparing SkinCancerDetection and BlocklyML you can also consider the following projects:

enmodal - transit planning & analysis in your browser

BlockLike - Bridging the gap between block programming and JavaScript.

tasking-manager - Tasking Manager - The tool to team up for mapping in OpenStreetMap

mlogblocks - mindustry logic from code blocks. see keybinds at bottom of the page for usage and examples folder for examples

DroneAid - Aerial scout for first responders. DroneAid uses machine learning to detect calls for help on the ground placed by those in need.

deeptraffic - DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

COMP3200Project - A Web-Based IDE, written using SVELTE and the Blockly System, to assist the teaching of Haskell using a Scratch like language

SignLanguage - SignLanguage is a platform where users can practically learn American Sign Language using machine learning and access videos for over 20,000+ ASL phrases.