alishakiba

A-Comprehensive-Deep-Learning-Workflow-with-Python

This tutorial demonstrates the basic workflow for Deep Learning.You should be familiar with basic linear algebra,Python and the Jupyter Notebook editor. It also helps if you have a basic understanding of Machine Learning and classification.

ClothesVirtualFitting

Images-based Clothes animation for virtual fitting

Correlation-Clustering-Algorithm-for-Dynamic-Complete-Signed-Graphs-An-Index-based-Approach

data-mining-fall-2022

DataMiningCourse

This is the repository for Data Mining course offered by Ali Shakiba @ VRU

DataStructuresJava

ELMS

An E-mail based Learning Management System for "Computer Science 10x (x=1,2,3)"

OpenSees

virastyar

vruthesis

A template for Dissertations/Theses of faculty of Mathematical Sciences at the Vali-e-Asr University of Rafsanjan

alishakiba/DataMiningCourse

This is the repository for Data Mining course offered by Ali Shakiba @ VRU

alishakiba/DataStructuresJava

alishakiba/98

💿 Web-based Windows 98 desktop recreation █████▓█▓▓▒▓▒▒░▒░░░🗕︎🗗︎🗙︎

alishakiba/cdlib

Community Discovery Library

alishakiba/CPlusPlus

This repository contains some material I've created to teach courses on C++ and the Standard Template Library (STL). Please see http://www.dre.vanderbilt.edu/~schmidt/cs251 for more information on these topics, including video presentations and slides.

alishakiba/deepwalk

DeepWalk - Deep Learning for Graphs

alishakiba/Fiduccia-Mattheyses-Hypergraph-Partitioning-algorithm

alishakiba/flann-modified

This is the version I use for my own papers

alishakiba/GraphGym

Platform for designing and evaluating Graph Neural Networks (GNN)

alishakiba/graphml-tutorials

Tutorials for Machine Learning on Graphs

alishakiba/Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits

The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr

alishakiba/hdbscan

A high performance implementation of HDBSCAN clustering.

alishakiba/hierarchical-clustering-well-clustered-graphs

The code to accompany the paper "Hierarchical Clustering: O(1)-Approximation for Well-Clustered Graphs", which appeared in NeurIPS'21.

alishakiba/jquery-toast-plugin

Highly customizable jquery plugin to show toast messages

alishakiba/local-densely-connected-clusters

Code to accompany the paper "Local Algorithms for Finding Densely Connected Clusters", published at ICML 2021.

alishakiba/MadeWithML

Learn how to responsibly deliver value with ML.

alishakiba/ML_course

EPFL Machine Learning Course, Fall 2021

alishakiba/Modern-CPP-Programming

Modern C++ Programming Course (C++11/14/17/20)

alishakiba/nextjstutorial

alishakiba/PersianDate

javascript date library for parsing, validating, manipulating, and formatting persian dates System.

alishakiba/post--gnn-intro

alishakiba/probabilityForComputerScientists

alishakiba/pwt.datepicker

Javascript jalali calendar capable datepicker widget

alishakiba/pyclustering

pyclustring is a python data mining library.

alishakiba/Python

All Algorithms implemented in Python

alishakiba/scc

alishakiba/scikit-learn-mooc

scikit-learn-mooc

alishakiba/SubgraphMatching

In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo

alishakiba/TS-Interpretability-Benchmark

alishakiba/visualization-curriculum

A data visualization curriculum of interactive notebooks.