GLOM-TensorFlow VS image-quality-assessment

Compare GLOM-TensorFlow vs image-quality-assessment and see what are their differences.

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GLOM-TensorFlow image-quality-assessment
4 2
36 2,003
- 1.9%
0.0 0.0
about 3 years ago 4 months ago
Python Python
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.

GLOM-TensorFlow

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

image-quality-assessment

Posts with mentions or reviews of image-quality-assessment. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-11.

What are some alternatives?

When comparing GLOM-TensorFlow and image-quality-assessment you can also consider the following projects:

InvoiceNet - Deep neural network to extract intelligent information from invoice documents.

student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

DarkMark - Marking up images for use with Darknet.

efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.

imagededup - 😎 Finding duplicate images made easy!

wtte-rnn - WTTE-RNN a framework for churn and time to event prediction

These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁

cnn-raccoon - Create interactive dashboards for your Convolutional Neural Networks with a single line of code!

head-pose-estimation - Realtime human head pose estimation with ONNXRuntime and OpenCV.

efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.