15 results found Sort:

793
3.4k
mit
106
Semantic Segmentation Architectures Implemented in PyTorch
Created 2017-03-22
192 commits to master branch, last one 5 years ago
938
1.9k
apache-2.0
53
A Keras port of Single Shot MultiBox Detector
Created 2017-04-02
418 commits to master branch, last one 6 years ago
PyTorch for Semantic Segmentation
Created 2017-06-02
72 commits to master branch, last one 7 years ago
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Created 2020-04-30
107 commits to master branch, last one about a year ago
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
Created 2018-06-27
19 commits to master branch, last one 4 years ago
144
409
unknown
11
🚘 Easiest Fully Convolutional Networks
Created 2017-10-12
60 commits to master branch, last one 6 years ago
liver segmentation using deep learning
Created 2018-05-29
63 commits to master branch, last one 5 years ago
68
259
mit
9
U-Time: A Fully Convolutional Network for Time Series Segmentation
Created 2019-01-09
522 commits to main branch, last one 4 months ago
Semantically segment the road in the given image.
Created 2017-11-25
19 commits to master branch, last one 3 years ago
The first fully convolutional metric learning for geometric/semantic image correspondences.
Created 2019-10-21
14 commits to master branch, last one 4 years ago
Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery an...
Created 2020-05-16
80 commits to master branch, last one 2 years ago
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
Created 2021-10-06
42 commits to master branch, last one 2 years ago
Training a deep FCN network in PyTorch to route circuit layouts
Created 2017-08-09
34 commits to master branch, last one 5 years ago