awesome-tensorflow-lite VS kivy-tensorflow-helloworld

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

awesome-tensorflow-lite

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources. (by margaretmz)
awesome-list Tflite tensorflow-lite tflite-models Tensorflow tensorflow-models tfhub tensorflow-keras keras-tutorials sample-app model-zoo mediapipe Mlkit Mobile Android iOS Flutter Deep Learning Computer Vision Awesome
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kivy-tensorflow-helloworld

Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python. (by teticio)
Kivy tensorflow-lite Android iOS
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awesome-tensorflow-lite kivy-tensorflow-helloworld
1 2
1,099 43
- -
0.0 1.5
about 2 years ago about 1 year ago
Jupyter Notebook
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.

awesome-tensorflow-lite

Posts with mentions or reviews of awesome-tensorflow-lite. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-01.

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.

What are some alternatives?

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

PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

kivy-tflite-helloworld

CFU-Playground - Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.

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

visual-slam-roadmap - Roadmap to become a Visual-SLAM developer in 2023

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

android-arsenal.com - Source to android-arsenal.herokuapp.com

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

awesome-imgcook - Awesome list for imgcook related projects.

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 vs PINTO_model_zoo kivy-tensorflow-helloworld vs kivy-tflite-helloworld awesome-tensorflow-lite vs CFU-Playground kivy-tensorflow-helloworld vs kivy awesome-tensorflow-lite vs visual-slam-roadmap kivy-tensorflow-helloworld vs KivyMD awesome-tensorflow-lite vs android-arsenal.com kivy-tensorflow-helloworld vs rpi-urban-mobility-tracker awesome-tensorflow-lite vs awesome-imgcook kivy-tensorflow-helloworld vs vosk-api kivy-tensorflow-helloworld vs TFLiteClassification