Implementations of ResNet-18, ResNet-34, ResNet-50, ResNet-101, and ResNet-152 in TensorFlow 2, based on the "Deep Residual Learning for Image Recognition" paper by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun (2015)
APACHE-2.0 License
RFCN implement based on Keras&Tensorflow
A curated list of dedicated resources and applications
Deep learning codes and projects using Python
Efficientnet V2 adapted to Keras functional API.
Convert ONNX model graph to Keras model format.
Optimize layers structure of Keras model to reduce computation time
Residual networks implementation using Keras-1.0 functional API
Classification models trained on ImageNet. Keras.
A simple wrapper to use keras-retinanet models with tensorflowjs.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Pretrained on ImageNet ResNet-152 model in Keras
Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of r...
Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2
PyTorch to Keras model convertor