medicalAI
spektral
| medicalAI | spektral | |
|---|---|---|
| 1 | 3 | |
| 15 | 2,347 | |
| - | - | |
| 2.7 | 5.7 | |
| 11 months ago | 4 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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medicalAI
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Tf 2.0 data API help
For Vision applications you can use look into this library, https://github.com/aibharata/medicalAI/tree/dev-rc. This branch has tf_image_pipelines in data loaders section. That may be of help to you.
spektral
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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.
What are some alternatives?
super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.
GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
graphtransformer - Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
deepNOID - deepNOID, the binary music genre classifier which determines if what you're listening to really is NOIDED
SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics
DeepAA - make ASCII Art by Deep Learning