Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
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Updated
Jan 13, 2024 - Python
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
Unofficial implementation of MobileNetV3 architecture described in paper Searching for MobileNetV3.
🛠 Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI
Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock
基于tf.keras的多标签多分类模型
Note for Aurélien Géron'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.
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
Transformer-based models implemented in tensorflow 2.x(using keras).
YOLOv4 Implemented in Tensorflow 2.0. Convert YOLO v4 .weights to .pb and .tflite format for tensorflow and tensorflow lite.
Simple stochastic weight averaging callback for Keras
A variational autoencoder for volumetric shape generation
handwritten word recognition with IAM dataset using CNN-Bi-LSTM and Bi-GRU implementation.
Deploy image classifier on a static website using javascript.
Pruning and other network surgery for trained TF.Keras models.
Caster IO courses
Modern Deep Network Toolkits for Tensorflow-Keras. This is a extension for newest tensorflow 1.x.
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