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My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Created 2016-12-17
320 commits to master branch, last one 2 years ago
This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segn...
Created 2016-12-14
3,848 commits to master branch, last one 7 years ago
The official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"
Created 2019-09-16
31 commits to master branch, last one 2 months ago
Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
Created 2019-03-30
10 commits to master branch, last one 5 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 about a year ago
PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, GoogleNet, and more dataset
Created 2020-10-10
13 commits to master branch, last one about a month ago
Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.
Created 2021-08-23
60 commits to master branch, last one 2 years ago