TFLiteClassification VS rpi-urban-mobility-tracker

Compare TFLiteClassification vs rpi-urban-mobility-tracker and see what are their differences.

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TFLiteClassification rpi-urban-mobility-tracker
1 1
1 111
- -
0.0 0.0
about 3 years ago 6 months ago
Jupyter Notebook Jupyter Notebook
- GNU General Public License v3.0 only
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.

TFLiteClassification

Posts with mentions or reviews of TFLiteClassification. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-08.

rpi-urban-mobility-tracker

Posts with mentions or reviews of rpi-urban-mobility-tracker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-01.

What are some alternatives?

When comparing TFLiteClassification and rpi-urban-mobility-tracker you can also consider the following projects:

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

spchcat - Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi.

automl - Google Brain AutoML

coral-pi-rest-server - Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick

mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark

docs - TensorFlow documentation

PAWS-TF - Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

kivy-tensorflow-helloworld - Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python.

node-efficientnet - tensorflowJS implementation of EfficientNet 🚀

tensorflow_lite_alpine - Tensorflow Lite reduced to a tiny C library compatible with musl environments like Alpine Linux

BERT-for-Mobile - Compares the DistilBERT and MobileBERT architectures for mobile deployments.

DeepSORT - support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++