A tensorflow practice repo for tensorflow learning.(GAN:From Zero to One)

CNN experiments for Bachelor Thesis at BUT FIT

[Caffe] A deep convnet developed for semantic segmentation task.

Comparison of FCN and CNN on a semantic segmentation task.

the implementation of some deep learning algorithms

infer.py

A deep learning image segmentation library and API on top of PyTorch.

Udacity Self Driving Car Semantic Segmentation project

TensorFlow implementation of Fully Convolutional Networks

Some models built from scratch with PyTorch during my graduate program at UT Austin

Implementation of `Fully Convolutional Networks for Semantic Segmentation` by Jonathan Long, Evan Shelhamer, Trevor Darrell, UC Berkeley

Implementation of science project for my master's degree. Scripts for segmentation task: UNET, SEGNET, FCN-8, K-Mean

train neural network to detect pixels of the road - udacity - self-driving car engineer nanodegree

Repository for the Diabetes60 dataset

CNN architectures for multiclass semantic segmentation of esophageal diseases

Implementation of Segnet, FCN, UNet and other models in Keras.

using semantic segmentation to identify drivable path for self driving cars

Fully Convolutional Network (FCN)