The TensorFlow-specific implementation of the Keras API, which was the default Keras from 2019 to 2023.
APACHE-2.0 License
Introduction to Deep Neural Networks with Keras and Tensorflow
Deep Learning for humans
A Hyperparameter Tuning Library for Keras
Tutorial on running keras model in C++ and python tensorflow
A library that includes pure TF/Keras preprocessing and augmentation layers, providing support fo...
Header-only library for using Keras (TensorFlow) models in C++.
Scikit-Learn API wrapper for Keras.
AutoML library for deep learning
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Lea...
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
Industry-strength Computer Vision workflows with Keras
Modular Natural Language Processing workflows with Keras
深度学习TensorFlow2入门指南。Deep Learning TensorFlow2 API and Examples with Python3 and Jupyter Notebook.