Keras implementation of Residual Attention Network
MIT License
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Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Keras implementation of the "Show, Attend and Tell" paper
Residual networks implementation using Keras-1.0 functional API
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://ar...
Pretrained on ImageNet ResNet-152 model in Keras
Collection of custom layers and utility functions for Keras which are missing in the main framework.
attention block for keras Functional Model with only tensorflow backend
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Implementation of the Transformer architecture described by Vaswani et al. in "Attention Is All Y...
SqueezeNet implementation with Keras Framework
Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation...
Keras Attention Layer (Luong and Bahdanau scores).
Implementations of ResNet-18, ResNet-34, ResNet-50, ResNet-101, and ResNet-152 in TensorFlow 2, b...
Google MobileNet implementation with Keras
Classification models trained on ImageNet. Keras.