Sakib Mahmud (@Sakib1263)
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Sakib1263

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1

Inception-InceptionResNet-SEInception-SEInceptionResNet-1D-2D-Tensorflow-Keras

Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)
Jupyter Notebook
27
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2

TF-1D-2D-ResNetV1-2-SEResNet-ResNeXt-SEResNeXt

Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).
Jupyter Notebook
26
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3

TF-1D-2D-Segmentation-End2EndPipelines

1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
Jupyter Notebook
25
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4

NABNet

NABNet: A Nested Attention-guided BiConvLSTM Network for a robust ‎prediction of Blood Pressure components from reconstructed Arterial Blood ‎Pressure waveforms using PPG and ECG Signals
Jupyter Notebook
17
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5

DenseNet-1D-2D-Tensorflow-Keras

Models Supported: DenseNet121, DenseNet161, DenseNet169, DenseNet201 and DenseNet264 (1D and 2D version with DEMO for Classification and Regression)
Jupyter Notebook
15
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6

VGG-1D-2D-Tensorflow-Keras

Models Supported: VGG11, VGG13, VGG16, VGG16_v2, VGG19 (1D and 2D versions with DEMO for Classification and Regression).
Jupyter Notebook
10
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7

MobileNet-1D-2D-Tensorflow-Keras

Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)
Jupyter Notebook
7
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8

COVID-19-Vaccine-Willingness-and-Hesitancy-among-Residents-in-Qatar

A Machine Learning-based approach to classify COVID-19 Vaccine Willingness and Hesitancy severity among people in Qatar based on survey outcomes.
Jupyter Notebook
4
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9

Sakib1263

CSS
2
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10

AlbUNet-1D-2D-Tensorflow-Keras

Models Supported: AlbUNet [18, 34, 50, 101, 152] (1D and 2D versions for Single and Multiclass Segmentation, Feature Extraction with supports for Deep Supervision and Guided Attention)
Python
1
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11

EfficientNet-1D-2D-Tensorflow-Keras

Models Supported: EfficientNet B0-B7, L2 (Both 1D and 2D Models with DEMO, developed in Tensorflow, Keras)
1
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