android-bootstrap VS awesome-teachable-machine

Compare android-bootstrap vs awesome-teachable-machine and see what are their differences.

android-bootstrap

Bootstrap your Lobe machine learning model with our Android project. (by lobe)

awesome-teachable-machine

Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps! (by SashiDo)
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android-bootstrap awesome-teachable-machine
21 90
60 176
- 0.0%
1.8 0.0
about 3 years ago over 1 year ago
Kotlin
GNU General Public License v3.0 or later Creative Commons Zero v1.0 Universal
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.

android-bootstrap

Posts with mentions or reviews of android-bootstrap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-21.

awesome-teachable-machine

Posts with mentions or reviews of awesome-teachable-machine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-06.

What are some alternatives?

When comparing android-bootstrap and awesome-teachable-machine you can also consider the following projects:

streamlit - Streamlit — A faster way to build and share data apps.

teachablemachine-node - Using Teachable Machine Models in Node.js

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

examples - TensorFlow examples

cld3-kotlin - Bindings to Google's Compact Language Detector 3 to JVM Based Languages

public-apis - A collective list of free APIs

metaflow - Build and manage real-life data science projects with ease.

FtcRobotController

great_expectations - Always know what to expect from your data.

teachablemachine-community - Example code snippets and machine learning code for Teachable Machine

kedro-great - The easiest way to integrate Kedro and Great Expectations

BirdNET-Pi - A realtime acoustic bird classification system for the Raspberry Pi 4B, 3B+, and 0W2 built on the TFLite version of BirdNET.