• Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created almost 5 years ago
  • Updated about 2 years ago

Reviews

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

Repository Details

The URL for the paper corresponding to this work is given in the following URL: https://www.mdpi.com/1424-8220/20/4/1068. The model described in this paper can only distinguish between Pneumonia and Normal X-ray scans. This paper achieves an accuracy of approximately 96.36 % when detecting pneumonia from chest x-ray images using E4CC.

More Repositories

1

MachineLearning-AI

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).
168
star
2

100_Days_for_ComputerVision_Papers

This is a repo where I keep a track of the Computer Vision papers that I am reading
7
star
3

DLinComputerVision

3
star
4

AnshMittal1811

The front page of my GitHub ReadMe. Feel free to use it as you like.
3
star
5

Pytorch

Jupyter Notebook
2
star
6

Spring2022SentimentAnalysis

Jupyter Notebook
1
star
7

NLP

Python
1
star
8

daMCONCNN

Jupyter Notebook
1
star
9

PneumoniaModelsAnalysis

1
star
10

DeepLearningProjects

Jupyter Notebook
1
star
11

DataDrivenAstronomy

Jupyter Notebook
1
star
12

HandwrittenEquationSolver

1
star
13

BrainTumorClassification

This is the code and figures for the paper "AiCNNs (Artificially-integrated Convolutional Neural Networks) for Brain Tumor Prediction".
Jupyter Notebook
1
star
14

Tensorflow-Advanced-Techniques

Jupyter Notebook
1
star
15

QuantumMLSSQiskit

Jupyter Notebook
1
star
16

AdvancedMLSpecialization

Jupyter Notebook
1
star
17

Computer-aidedDiseaseRecognition

1
star
18

ContinualLearning

1
star
19

GANs-Specialization

Jupyter Notebook
1
star
20

NLPSpecialization

Python
1
star
21

100daysofdevops

Different Concepts related to Machine Learning Infrastructure, MLOps, and Machine Learning Deployment.
Python
1
star
22

AIHybridFullWorldModel

My First AI project done by referencing the model explained in https://worldmodels.github.io/. I'm really thankful to all the authors of this work. This is by no means my own work. It's just restructured and the CNN-VAE and MDN-RNN main codes have been coded by myself which is also annotated by comments.
Python
1
star