TFLiteClassification
rpi-urban-mobility-tracker
| 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 |
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
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TensorFlow Lite Python Interpreter Implementation!
TFLiteClassification
rpi-urban-mobility-tracker
What are some alternatives?
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PAWS-TF - Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.
docs - TensorFlow documentation
mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark
kivy-tensorflow-helloworld - Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python.
BERT-for-Mobile - Compares the DistilBERT and MobileBERT architectures for mobile deployments.
tensorflow_lite_alpine - Tensorflow Lite reduced to a tiny C library compatible with musl environments like Alpine Linux
node-efficientnet - tensorflowJS implementation of EfficientNet 🚀
DeepSORT - support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++