Zahra Dehghanian (@ZahraDehghanian97)
github

ZahraDehghanian97

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Top repositories

1

AI_booklet_CE-AUT

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.
24
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2

Scalable_Sequential_Spectral_Clustering

In this project , I implement SeqSC Algorithm based on "Scalable Sequential Spectral Clustering" paper. Also this repo contains implementation of KNN, Spectral Clustering, SVD, SeqKM, SSVD Algorithms and has got a simple GUI to show the Result of each Algorithm. This project was done under supervision of Dr. Amirmazlaghani
Python
12
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3

persian_compiler

final project for course principle of compiler design ,Dr razazi .
Java
4
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4

stock_market

Jupyter Notebook
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5

DenseNet_Vs._ResNet

In this Repo. DenseNet and ResNet function are compared. first we use transfer learning to initialize the weights and then fine tune them on outdoor and indoor photo from ImageNet dataset. at last we compare this nets in term of accuracy and precision.
Jupyter Notebook
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6

classical-modern-Search-artificial-intelligence

This Repo. contains five problems (Rubik ,SAT,Maze ,8Puzzle,WordTable) solved with nine algorithms (A* ,DFS ,IDDFS ,DLS ,BFS ,UniformCost, bidirectionalSearch, Simulated Annealing, and Hill climbing). This project is done for artificial intelligence course under supervision of Dr.Nikabadi .
Java
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7

http_over_udp_network

in this project i implement http over UDP and DNS over TCP . this is a final project for course network Dr.sabaei .
HTML
3
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8

Bayes_Classifier_Face_Detection

In this Repo. I implement a baysian classifier to detect face in different picture. it was implemented in different section; The description that each part is implemented for, will follow .
Python
3
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9

NumexInterpreter_ProgramingLanguage

In this repository I implement a small interpreter for Numex language. this program was written with functional language in Racket. this is final project for course Design and Implementation of programming language, Dr. Fallah
Racket
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10

Lazy-Hill-Climbing

in this repo. greedy hill climbing and lazy hill climbing is implemented from scratch with only numpy and scipy library. this project is tested on the facebook101-Princeton dataset.
Python
3
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11

NeuralNetwork_on_FPGA

In this repository I implement a basic Neural Network in VHDL . this project has got 3 phase. in first part all function which is needed in future phase is implemented. in second phase a LSTM cell is implemented and at last phase, a simple neural network is built. This is final project for course FPGA , Dr. Sahebzamani.
VHDL
3
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12

Data-Usage-Prediction

In this project we expertise different models like : SCINet, Informer, ARIMA, LSTM on Hamrahe-aval data Usage (MCIRD) Dataset. This was an Multivariant time series task which is proposed for Amirkabir Artificial Intelligence Competitions (AAIC)
Jupyter Notebook
3
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13

DP-FedAvg

In this repo. I implement Federated Averaging (FedAvg) and Differential Privacy-FedAvg (DP-FedAvg) algorithms for a distributed learning scenario on CIFAR-10 dataset. I also analyze the impact of privacy on the modelโ€™s accuracy and utility.
Jupyter Notebook
2
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14

Self_Organizing_Map

In this Repo. first a SOFM network is implemented to reduce the dimension of pictures and then a multilayer perceptron is used to classify the faces. this project is done on Yale Face dataset : http://vision.ucsd.edu/content/yale-face-database
Jupyter Notebook
2
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15

CELF

In this repo. , "Cost Effective Lazy Forward Selection" Algorithm is implemented from scratch in python with only numpy library.
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16

Naive_Bayes_Classifier_Wine

Naive Bayes Classifier with K-Fold Cross Validation and ROC Curves (one Vs. all technique) on Wine Data-set.
Python
2
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17

Content-based-Recommender-System

In this Repository, A simple content-based book recommendation system is implemented. A representation vector is built with a TF-IDF vector of the Authors name concatenated with the title of the book.
Python
2
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18

Exchange-Email-Scanner

this is my internship project . in this project i try to implement a client user in c# wich sign in into exchange 2016 server and check all inbox attachment of emails and in case it finds bad attachment , this code programmaticly deletes it .
C#
2
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19

classify_text

Jupyter Notebook
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20

LSTM_sequence_prediction

In this Reop. I try LSTM Network with 2 different approaches (padding and splitting sequences )to predict which app will be installed by users.
Jupyter Notebook
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21

Perceptron_Vs._Adaline

Jupyter Notebook
2
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22

NCRP_HLDA

In this project, a simple Nested Chinese Restaurant Process is implemented. this is done by using HLDA for topic modeling with Gibbs Sampler. this project demonstrates the BBC Insight Dataset for evaluation.
Jupyter Notebook
2
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23

Matrix-Factorization-recommender-System

In this repository, I implement a recommender system using matrix factorization. Here, two types of RS are implemented. First, use the factorized matrix for user and item. and second, rebuild the Adjacency matrix. both approaches are acceptable and implemented in this repo. To factorized the matrix, funk-svd Algorithm is used. you can find his implementation on this link: https://github.com/gbolmier/funk-svd
Python
2
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24

Hidden-Markov-Model

In this Repository, Algorithms of learning HMM with two approaches is implemented: first, learn parameter when having observations and related state of them with Maximum Likelihood Alg. and the second approach in the condition that just have observations with forward-backward Alg. after constructing HMM Viterbi Alg. is implemented to test a sequence of observation.
Python
2
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25

Multilayer_Perceptron

In this Repo. a Multilayer Perceptron is implemented. Both Regression and Classification task is done on yearpredictionmsd dataset.
Jupyter Notebook
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26

pneumonia_diagnosis

In this Repo. we use a ResNet model with transfer learning to classify pneumonia based on chest X-ray image. this is the first project of course "medical imaging" Dr. Rohban.
Jupyter Notebook
2
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27

Poetry_Generator

A simple RNN-based neural network to create Farsi (Persian) poems, In this Repo. Ferdowsi's Poems (Shahnameh ) is created.
Jupyter Notebook
2
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28

Football_Player_Classification

Python
1
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29

TFIDF_Spark

In this project I implement tf-idf with spark on Persian Wikipedia to retrieve percentage of similar articles in specific topic.
Jupyter Notebook
1
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30

dollyTheWarior

game maker
NSIS
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31

Gradient_Descent

Python
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32

Linear_Transformation

Python
1
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33

Apriori_SON_spark

In this repo. , I implement A-priori and SON Algorithms to find frequent road in real Traffic dataset using Spark.
Jupyter Notebook
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34

Evolutionary_learning

Python
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35

Minimum_Distance_Classifier_OCR

In this Repository. I implement a Minimum Distance classifier to detect Numbers in different picture. it was implemented in different section; The description that each part is implemented for, will follow .
Python
1
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36

TF-IDF

In this repo I implement a simple TF-IDF algorithm for dataset of news in persian. This project is done for course Information Retrieval under suprivision of Dr. Momtazi.
Python
1
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37

Maximal_frequent_itemset

In this repo. first, I use FP-growth algorithm to find frequent itemset (from pyfpgrowth library). second, find closed frequent itemsets and finally, find Maximal frequent itemset.
Jupyter Notebook
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38

MinHashing_Spark

In this repo. , I implement Cosine similarity and MinHashing function ( with and / or operator on band ) to find similarity to specific road in real Traffic dataset using PySpark.
Jupyter Notebook
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39

Apriori

Here is a simple A-priori Algorithm to find frequent Itemset with size 2 and 3. for join, pruning is implemented. after all, the association rule with max confidence is also reported.
Jupyter Notebook
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40

MultiClass_Logestic_Regression

In this Repository, I implement a multi-class LR with binary LR and one-vs-all technique on Mnist dataset. To test the classifier, I show the accuracy and confusion matrix of train and test set and show 25 random data from test set with true and predicted label.
Python
1
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41

Intelligent-home-security-threats

All project for the Course of research methodology and presentation , Dr. Safabakhsh . In the context of smart home security threats in the objects layer and ways to deal with it
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