tensorflow-keras

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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.

Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.

🛠 Converting Mask R-CNN Keras model to Tensorflow model and Serving model

基于tf.keras的多标签多分类模型

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

Pruning and other network surgery for trained TF.Keras models.

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.

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

Note for Aurélien Géron's 2019 book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition"

Caster IO courses

Modern Deep Network Toolkits for Tensorflow-Keras. This is a extension for newest tensorflow 1.x.

tensorflow.keras implementation of gradcam and gradcam++

A simplified implementation of RetinaNet from https://arxiv.org/pdf/1708.02002.pdf using TF2.0

A generalized autoencoder for volumetric shape generation

A real-time medical image segmentation architecture (IEEE Access)

Computer-aided detection and diagnosis model, with deep attention mechanisms, for voxel-level localization of clinically significant prostate cancer in bi-parametric MRI scans.

Implementation of the VNect with tf.keras

Tensorflow Algorithm and Layer Implementations.

tf-keras-implemented YOLOv3

A variational autoencoder for volumetric shape generation

A model for classifying different types of fruits using CNNs

人脸检测bbox+landmark，使用 tensorflow.keras 训练MTCNN

Large-scale Data Analysis supplementary material.

With the help of OpenCV and Deep Learning CNN algorithm performing some action with hand gesture though webcam like I'm playing chrome browser famous game dinosaur jump. And for CNN model I have collected my own Dataset by capturing 350+ images.

Tensorflow OctConv Implementation