Bao-Jiarong/UNET Bao-Jiarong/UNET

  • Stars
    star
    1
  • Language
    Python
  • Created about 4 years ago
  • Updated about 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
Bao-Jiarong/UNET
github

Bao-Jiarong

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

This implementation about segmentation autoencoder applying on cityscapes , based on model UNet .

More Repositories

1

VGG

Implementation of VGG11, VGG13, VGG16 and VGG19 in Tensorflow 2.
Python
7
star
2

Bao_Classifiers

The repository includes the implementation of VGG11, VGG13, VGG16, VGG19, AlexNet, ZFNet, LeNet,SqueezeNet, SqueezeNetv2, SqueezeNetv3, MobileNet and MobileNetv2 in Tensorflow 2.
Python
5
star
3

SqueezeNet

This repository is about SqueezeNet, SqueezeNetv2, SqueezeNetv3 in Tensorflow 2.
Python
4
star
4

Advanced_ZFNet

This repository is about ZFNet in Tensorflow 2.
Python
4
star
5

Regression_in_tensorflow2

I created a simple regression model in tensorflow 2 that can deal with the datasets about wine quality and real estate.
Python
3
star
6

Metaheuristics_2D

All of the implemented algorithms can be used to find the minimum of 2D function.
Python
3
star
7

Simple_tensorflow_2.0

This is a collection of simple models in tensorflow 2.0.
Python
3
star
8

Advanced_VGG

The repository includes the implementation of VGG11, VGG13, VGG16 and VGG19 in Tensorflow 2.
Python
3
star
9

Numerical_Analysis_2D

All of the implemented algorithms can be used to find the minimum of 2D function.
Python
3
star
10

LeNet

Implementation of LeNet in Tensorflow 2
Python
3
star
11

Advanced_LeNet

This repository is about LeNet in Tensorflow 2.
Python
3
star
12

ZFNet

Implementation of ZFNet in Tensorflow 2
Python
3
star
13

Genetics_3D

All of the implemented algorithms can be used to find the minimum of 3D function.
Python
3
star
14

Metaheuristics_3D

All of the implemented algorithms can be used to find the minimum of 3D function.
Python
3
star
15

Classifiers

All of the implemented algorithms can be used to classify data sets.
Python
3
star
16

Genetics_2D

All of the implemented algorithms can be used to find the minimum of 2D function.
Python
3
star
17

Advanced_AlexNet

This repository is about AlexNet in Tensorflow 2 .
Python
3
star
18

AlexNet

Implementation of AlexNet in Tensorflow 2
Python
3
star
19

Classification_tensorflow_2.0

MNIST Classifier ,CIFAR Classifier ,FASHION Classifier ,FLOWERS Classifier ,CAT_DOG Classifier
Python
3
star
20

Perceptron

Perceptron algorithm can be used to classify data. First, you need to make a model, then use the model to train part of data. Next, you can evaluate the loss and accuracy. If the result is not good, you can train more data or modify the model until it gives good accuracy. Finally, you can predict any data to see which group it belongs to.
Python
3
star
21

ResNet

This repository includes ResNet18, ResNet34, ResNet50, ResNet101, ResNet152 in Tensorflow 2.
Python
2
star
22

MobileNetv2

This repository is about MobileNetv2 in Tensorflow 2.
Python
2
star
23

Vanilla_VAEs

This is a simple Vanilla_VAEs written in tensorflow 2.
Python
1
star
24

MobileNet

This repository is about MobileNet in Tensorflow 2.
Python
1
star