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Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Unofficial implementation of MobileNetV3 architecture described in paper Searching for MobileNetV3.
Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock
π Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI
Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
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Transformer-based models implemented in tensorflow 2.x(using keras).
A hands-on TensorFlow image recognition project teaching a computer to identify 10 everyday objects, originally for a linear algebra class, with tools to train a CNN, auto-tune settings, and test accuracy on random internet images.
Simple stochastic weight averaging callback for Keras
YOLOv4 Implemented in Tensorflow 2.0. Convert YOLO v4 .weights to .pb and .tflite format for tensorflow and tensorflow lite.
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
A variational autoencoder for volumetric shape generation
Note for AurΓ©lien GΓ©ron's 2019 book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition"
Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
tensorflow.keras implementation of gradcam and gradcam++
Hierarchical probabilistic 3D U-Net, with attention mechanisms (βππ΅π΅π¦π―π΅πͺπ°π― π-ππ¦π΅, ππππ¦π΄ππ¦π΅) and a nested decoder structure with deep supervision (βπππ¦π΅++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.
High Granularity Quantizarion for Ultra-Fast Machine Learning Applications on FPGAs
[Medical Image Analysis] Residual Aligner-based Network (RAN): Motion-Aware Structure for Coarse-to-fine Discontinuous Deformable Registration
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