spektral
Graph Neural Networks with Keras and Tensorflow 2. (by danielegrattarola)
Mask-RCNN-TF2
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0 (by ahmedfgad)
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| spektral | Mask-RCNN-TF2 | |
|---|---|---|
| 3 | 1 | |
| 2,344 | 299 | |
| - | - | |
| 5.7 | 1.3 | |
| 3 months ago | about 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
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.
spektral
Posts with mentions or reviews of spektral.
We have used some of these posts to build our list of alternatives
and similar projects.
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New “distilled diffusion models” research can create high quality images 256x faster with step counts as low as 4
But I'm a kamikaze by nature. I'm already learning Keras and Spektral so that I can write GNN's to predict molecular properties.
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[D] GNN Architecture that inputs and outputs both edge and node features?
I'm aware of Spektral: https://graphneural.network/
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tf-based framework for graph neural networks?
Has any library emerged as the clear leader in the TensorFlow Graph Neural Network space? A quick search revealed Spektral.
Mask-RCNN-TF2
Posts with mentions or reviews of Mask-RCNN-TF2.
We have used some of these posts to build our list of alternatives
and similar projects.