CFU-Playground VS awesome-tensorflow-lite

Compare CFU-Playground vs awesome-tensorflow-lite and see what are their differences.

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. (by google)
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CFU-Playground awesome-tensorflow-lite
2 1
442 1,099
-0.2% -
4.9 0.0
2 days ago about 2 years ago
Verilog
Apache License 2.0 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.

CFU-Playground

Posts with mentions or reviews of CFU-Playground. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing CFU-Playground and awesome-tensorflow-lite you can also consider the following projects:

tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

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.

deepbacksub - Virtual Video Device for Background Replacement with Deep Semantic Segmentation

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

yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

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

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

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

awesome-imgcook - Awesome list for imgcook related projects.

ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform