Squeeze and excitationPyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Ssd kerasA Keras port of Single Shot MultiBox Detector
SegmentationTensorflow implementation : U-net and FCN with global convolution
Keras IcnetKeras implementation of Real-Time Semantic Segmentation on High-Resolution Images
Open UcnThe first fully convolutional metric learning for geometric/semantic image correspondences.
Faced🚀 😏 Near Real Time CPU Face detection using deep learning
Vnet.pytorchA PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Pytorch UnetSimple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
Cascaded FcnSource code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Pytorch SemsegSemantic Segmentation Architectures Implemented in PyTorch
deep-routeTraining a deep FCN network in PyTorch to route circuit layouts
LIGHT-SERNETLight-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
FCNN-exampleThis is a fully convolutional neural net exercise to detect houses from aerial images.
atomaiDeep and Machine Learning for Microscopy
U-TimeU-Time: A Fully Convolutional Network for Time Series Segmentation