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

🛠 Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI

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

基于tf.keras的多标签多分类模型

Transformer-based models implemented in tensorflow 2.x(using keras).

Simple stochastic weight averaging callback for Keras

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

A variational autoencoder for volumetric shape generation

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.

tensorflow.keras implementation of gradcam and gradcam++

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). 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

Integrating Airbyte, Kafka, Airflow and MLflow on Azure Linux VMs within private network to continuously retrain LSTM Attention model with 1-minute stock prices and redeploy it on Azure ML AKS real-time inference endpoint behind serverless Azure API

[Medical Image Analysis] Residual Aligner-based Network (RAN): Motion-Aware Structure for Coarse-to-fine Discontinuous Deformable Registration

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

🚀 H2G-Net: Segmentation of breast cancer region from whole slide images

handwritten word recognition with IAM dataset using CNN-Bi-LSTM and Bi-GRU implementation.

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.

Caster IO courses

Source code for the MARL-enabled real-time control of urban drainage system

A generalized autoencoder for volumetric shape generation

A Python library for rapid prototyping of deep transfer learning vision models.

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

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

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