image-quality-assessment VS GLOM-TensorFlow

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

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image-quality-assessment GLOM-TensorFlow
2 4
2,000 36
1.9% -
0.0 0.0
4 months ago about 3 years 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.

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.

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.

What are some alternatives?

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

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

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

DarkMark - Marking up images for use with Darknet.

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

imagededup - 😎 Finding duplicate images made easy!

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

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

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

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

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

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