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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.

medical-imaging-datasets

A list of Medical imaging datasets.

micro_controller

all homework for Microprocessor and Assembly Language Dr.Homayoonpour

midproject-database

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.

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 .

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

msc_bsc_thesis

My Seminar report and Thesis of MSc degree and BSc degree in Amirkabir University of Technology

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.

multilayer_perceptron

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

naive_bayes_classifier_wine

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

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.

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.

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

othello-player-artificial-intelligence

Agent for participating in the Artificial Intelligence Competition implemented with Java for Artificial Intelligence course Dr. Nikabadi

overlapped_medicine

perceptron_vs._adaline

persian_compiler

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

plantsversuszombies-advanced-programming

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.

poetry_generator

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

predict_delivery_time

Test AdaBoost, XGBoost, Light GBM, CatBoost, Random Forest, Decision Tree and simple Feed Forward Neural Net for predicting delivery time.

pytorch_gan_zoo

A mix of GAN implementations including progressive growing

rcalad

Implementation of RCALAD Algorithm based on "Regularized Complete Adversarial Learned Anomaly Detection" paper *official code

resume

sayeh-computer-architecture

basic computer

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

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

self_supervised_dermatological_image

Implement ProtoPNet idea in Barlow Setup to have an interpretable Barlow Encoder. This is a self-supervised methods to analyze dermatological and medical images.

semantics_segmentation_unet

we will develop a U-Net for semantics segmentation of lung CT-scans. For this project, we will use a dataset consisting of CT-scans from lungs of COVID-19 patients. The regions affected by COVID-19 are marked with labels of ground glass opacity. we will be training and testing the U-Net model on this dataset.