CFU-Playground VS yolov4-custom-functions

Compare CFU-Playground vs yolov4-custom-functions 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)

yolov4-custom-functions

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT. (by theAIGuysCode)
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CFU-Playground yolov4-custom-functions
2 3
442 596
-0.2% -
4.9 0.0
2 days ago over 1 year ago
Verilog Python
Apache License 2.0 MIT License
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.

yolov4-custom-functions

Posts with mentions or reviews of yolov4-custom-functions. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing CFU-Playground and yolov4-custom-functions you can also consider the following projects:

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

tensorrt_demos - TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet