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cayleynets-graph-convolutional-neural-networks-with-complex-rational-spectral-filters-

reimplement paper: Cayleynets: Graph convolutional neural networks with complex rational spectral filters,

computer_vision_homework1

create-spirals-dataset

danab_application

evolutionary_algorithm_for_night_tour_problem-chessboard-restricted-with-the-pawns-and-nights-

This is a code to an evolutionary algorithm that help us find the best chess board situation in 300 generations. there is one knight which can be moved through board and there are some pawns and other nights in the board which threatening them has negative and positive points based on their type

evolutionary_algorithm_for_solving_nqueen_restricted_board_with_pawns

Here I employed an evolutionary algorithm that solve n queen problem, but it is not the traditional n queen problem. In this problem there are fixed soldiers in our board which are randomly generated and then regarding this we should have employed the evolutionary algorithm. The Persian report is available via contact, but English report not yet!

gcnrw-graph-convolutional-network-with-random-weights-

Here is an implementation of Title: "Are Graph Convolutional Networks With Random Weights Feasible?" Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence Year: 2022

genetic-algorithm-for-polynomial-curve-fitting

This repository contains the implementation of a genetic algorithm for polynomial curve fitting using Python. The algorithm utilizes a population-based approach to approximate complex polynomial functions and discover optimal coefficients for curve fitting.

googlescholar_scraper

The "googlescholar_scraper" project is a Python script that utilizes web scraping techniques to extract paper data from Google Scholar. The script searches for papers based on a specific query, in this case, "graph network multimodal." It then scrapes the search results from the first 20 pages of Google Scholar.

graph_attention_network

human_action_recognition

image-classification-on-caltech-amazon-dataset

image-classification-on-office-caltech-dataset-

implementation-for-the-paper-of-semi-supervised-classification-with-graph-convolutional-networks

This ia a simple implementation of SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS on three datasets(Cora, PubMed and Citeseer) and inspecting changing the first layer activation function of this model from ReLU to Linear

llm_science_competition

A code to a solution on this competition

machine_learning_homework

mydgm_version

natural-language-processing-course-projects

neural-network-homework

Here is my university Neural Network course homework containing implementing perceptron and convolutional networks from scratch and experimenting using different activation, loss function, ... on them.

officecaltechdomainadaptation

Code, Images and Features for the Domain Adaptation benchmark dataset Office-Caltech

picture_dictionary_android_application

Implementing an android application through android studio with java

plotting_ecdf_for_petal_length

pushdown-automata

shopping_website

solving_n_queens_by_evolutionary_algorithm

translate-english-subtitles-to-persian-

This python code gets the English subtitle file (.srt) and provide Persian subtitle file (.srt)

yolo-v8

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