kivy-tensorflow-helloworld VS kivy-tflite-helloworld

Compare kivy-tensorflow-helloworld vs kivy-tflite-helloworld and see what are their differences.

kivy-tensorflow-helloworld

Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python. (by teticio)
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kivy-tensorflow-helloworld kivy-tflite-helloworld
2 1
43 0
- -
1.5 0.0
about 1 year ago about 2 years ago
Jupyter Notebook Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

kivy-tensorflow-helloworld

Posts with mentions or reviews of kivy-tensorflow-helloworld. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-09.

kivy-tflite-helloworld

Posts with mentions or reviews of kivy-tflite-helloworld. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-08.

What are some alternatives?

When comparing kivy-tensorflow-helloworld and kivy-tflite-helloworld you can also consider the following projects:

kivy - Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS

KivyMD - KivyMD is a collection of Material Design compliant widgets for use with Kivy, a framework for cross-platform, touch-enabled graphical applications. https://youtube.com/c/KivyMD https://twitter.com/KivyMD https://habr.com/ru/users/kivymd https://stackoverflow.com/tags/kivymd

rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

TFLiteClassification - TensorFlow Lite Image Classification Python Implementation

awesome-tensorflow-lite - An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.