• Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • License
    Apache License 2.0
  • Created over 2 years ago
  • Updated almost 2 years ago

Reviews

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

Repository Details

Comparison between phase component effect vs. magnitude component effect for visual purposes, in humans, in a Grayscale image by Python in jupyter notebook.

More Repositories

1

Alamouti_Code

Implementation of the Alamouti code for the desired number of antennas in the receiver in MATLAB and Python
Python
6
star
2

Sets_in_Python

After completing this lab you will be able to: Work with sets in Python, including operations and logic operations.
Jupyter Notebook
3
star
3

Classes_and_Objects_in_Python

After completing this lab you will be able to: 1) Work with classes and objects 2) Identify and define attributes and methods
Jupyter Notebook
3
star
4

Numpy_in_Python

After completing this lab you will be able to: 1) Import and use the numpy library 2) Perform operations with numpy
Jupyter Notebook
3
star
5

Conditions_in_Python

After completing this lab you will be able to: work with condition statements in Python, including operators, and branching.
Jupyter Notebook
3
star
6

Exception_Handling

After completing this lab you will be able to: 1) Understand exceptions 2) Handle the exceptions
Jupyter Notebook
3
star
7

Pandas_Python

Creation and manipulation of a Dataframe
Jupyter Notebook
3
star
8

markdown-portfolio

3
star
9

Git_and_GitHub_Final_Project

for Coursera
Shell
3
star
10

Dictionaries-in-Python

After completing this lab you will be able to: Work with and perform operations on dictionaries in Python
Jupyter Notebook
3
star
11

github-final-project

Shell
3
star
12

Learning_Linear_Regression

Jupyter Notebook
3
star
13

Working_with_different_file_formats_in_Python

Working with different file formats in Python
Jupyter Notebook
3
star
14

HTTP_and_Requests_in_Python

After completing this lab you will be able to: 1) Understand HTTP 2) Handle HTTP Requests
Jupyter Notebook
3
star
15

Loops_in_Python

After completing this lab you will be able to: work with the loop statements in Python, including for-loop and while-loop.
Jupyter Notebook
3
star
16

Write_and_Save_Files_in_Python

After completing this lab you will be able to: Write to files using Python libraries
Jupyter Notebook
3
star
17

Python-String-Operations

1) Work with Strings 2) Perform operations on String 3) Manipulate Strings using indexing and escape sequences
Jupyter Notebook
3
star
18

Functions_in_Python

After completing this lab you will be able to: 1) Understand functions and variables 2) Work with functions and variables
Jupyter Notebook
3
star
19

Learning_Python_Objectives

1) Write basic code in Python 2) Work with various types of data in Python 3) Convert the data from one type to another 4) Use expressions and variables to perform operations
Jupyter Notebook
3
star
20

Reading_Files_Python

After completing this lab you will be able to: Read text files using Python libraries
Jupyter Notebook
3
star
21

Lists_and_Tuples_in_Python

After completing this lab you will be able to: 1) Perform the basics tuple operations in Python, including indexing, slicing and sorting 2) Perform list operations in Python, including indexing, list manipulation, and copy/clone list.
Jupyter Notebook
3
star
22

Rake_Demodulation

A Simple Implementation of the Rake Demodulator.
Jupyter Notebook
2
star
23

Binary_ID3_Decision_Tree_for_Play_Tennis

Jupyter Notebook
2
star
24

Diffusion_Deep_Models_Report

A Technical Report for Image Generation Using Diffusion Models.
1
star
25

CPMs

𝐂𝐏𝐌𝐬: 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬-𝐏𝐡𝐚𝐬𝐞 𝐌𝐨𝐝𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬
Jupyter Notebook
1
star
26

Linear_Block_Code

Implementation of Encoder and Decoder for Linear Block Code C(5, 2).
Jupyter Notebook
1
star
27

Meggitt_Decoding_Algorithm

A Simple Implementation of Meggitt Decoding Algorithm.
Jupyter Notebook
1
star
28

LRCs_Report

A Technical Report About Locally Repairable Codes (LRCs).
1
star
29

ZJ_Stack

Implementation of the Suboptimum Decoding Algorithm, ZJ-Stack
Jupyter Notebook
1
star
30

Web-Development

Web-Development repo is a collection of beginner-friendly resources, files, and Notebooks to help you learn HTML, CSS, and Javascript. Includes tutorials and examples to get you started with creating web pages.
HTML
1
star
31

DDPM_EMNIST

Simple Exercise for Denoising Diffusion Probablistic Model (DDPM) on EMNIST Dataset
Jupyter Notebook
1
star
32

Conv_Encoder_Viterbi_Decoder

A Simple Implementation for Systematic Feedforward Encoder for Convolutional Code (2, 1, 3) and Decoder Based on Hard Decision Viterbi Algorithm (HDVA)
Jupyter Notebook
1
star
33

Clean-and-Analyze-Social-Media-Usage-Data-with-Python

Jupyter Notebook
1
star
34

Simple_Deep_Exercise

A simple exercise for Deep Learning and hyperparameter tuning on MNIST and CIFAR10 datasets
Jupyter Notebook
1
star
35

HyperSpectral_Remote_Sensing

Jupyter Notebook
1
star
36

AI-Engineering

1
star
37

Images

1
star
38

Transfer-Learning-by-Using-VGG19-Model

Jupyter Notebook
1
star
39

PCA

In this Notebook, we are going to view an explanation of Principal Component Analysis(PCA).
Jupyter Notebook
1
star
40

Linear-Algebra-using-Numpy

In this Repo, you will have the opportunity to remember some basic concepts about linear algebra and how to use them in Python.
Jupyter Notebook
1
star
41

Hash-Tables

In this Repo, we are going to practice the most important concepts related to the hash functions.
Jupyter Notebook
1
star
42

Data-Science-Challenge

Jupyter Notebook
1
star
43

Shahin-Mjz

My personal repository.
1
star