#计算机科学#Keras是一个基于 Python 的深度学习库，能够在TensorFlow、Microsoft Cognitive Toolkit、Theano或PlaidML之上运行。
Keras documentation, hosted live at keras.io
#计算机科学#Keras implementations of Generative Adversarial Networks.
翻译 - 生成对抗网络的Keras实现。
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
翻译 - 具有预训练骨干的细分模型。 Keras和TensorFlow Keras。
A Keras implementation of YOLOv3 (Tensorflow backend)
翻译 - YOLOv3（Tensorflow后端）的Keras实现
Deep Reinforcement Learning for Keras.
翻译 - Keras的深度强化学习。
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
翻译 - 遮罩R-CNN，用于在Keras和TensorFlow上进行对象检测和实例分割
Keras implementation of RetinaNet object detection.
翻译 - Keras实现RetinaNet对象检测。
#计算机科学#Implementation of EfficientNet model. Keras and TensorFlow Keras.
翻译 - EfficientNet模型的实现。 Keras和TensorFlow Keras。
Keras community contributions
keras版的transformer模型库
A Hyperparameter Tuning Library for Keras
翻译 - 人类的超参数调整
Keras WaveNet implementation
Reference implementations of popular deep learning models.
Keras Temporal Convolutional Network.
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
Utilities for working with image data, text data, and sequence data.
Industry-strength Computer Vision workflows with Keras
kapre: Keras Audio Preprocessors
Keras Generative Adversarial Networks
R Interface to Keras