Greenathon-Plant-AI VS Handwritten-Optical-Character-Recognition

Compare Greenathon-Plant-AI vs Handwritten-Optical-Character-Recognition and see what are their differences.

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Greenathon-Plant-AI Handwritten-Optical-Character-Recognition
1 1
71 14
- -
0.0 0.0
over 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

Greenathon-Plant-AI

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

Handwritten-Optical-Character-Recognition

Posts with mentions or reviews of Handwritten-Optical-Character-Recognition. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Greenathon-Plant-AI and Handwritten-Optical-Character-Recognition you can also consider the following projects:

web-bootstrap - Bootstrap your Lobe machine learning model with our web starter project.

handwritten-multi-digit-number-recognition - Recognize handwritten multi-digit numbers using a CRNN model trained with synthetic data.

TradeNet - Explore the history of NBA player transactions by visualizing them as a graph.

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

MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light💡 image enhancement