alishakiba
I am an assistant professor of computer science at vru.ac.ir. My research interests include Big data models and algorithms, parameterized algorithms, 1ali.ir
Vali-e-Asr University of RafsanjanIran (Islamic Republic)
Pinned Repositories
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's Repositories
alishakiba/Correlation-Clustering-Algorithm-for-Dynamic-Complete-Signed-Graphs-An-Index-based-Approach
alishakiba/data-mining-fall-2022
alishakiba/deepul
alishakiba/hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
alishakiba/LLM101n
LLM101n: Let's build a Storyteller
alishakiba/nci-pytorch
This repo is designed as a comprehensive starting point for those new to PyTorch and deep learning. It provides hands-on tutorials and examples to help you get acquainted with the core concepts and features of PyTorch, one of the most popular open-source machine learning libraries.
alishakiba/pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.2)
alishakiba/PySR
High-Performance Symbolic Regression in Python and Julia
alishakiba/SAM
System Advisor Model (SAM)
alishakiba/Applied-Deep-Learning
Applied Deep Learning Course
alishakiba/Basics-DataMining-Workshop
alishakiba/big-data-fall-2022
alishakiba/bigdataengineering
Educational material for big data engineering courses
alishakiba/Cohesive_subgraph_book
Code for monograph "Cohesive Subgraph Computation over Large Sparse Graphs"
alishakiba/D-tree
This repository contains all codes for the VLDB 2022 paper "Dynamic Spanning Trees for Connectivity Queries on Fully-dynamic Undirected Graphs"
alishakiba/data-engineering-zoomcamp
Free Data Engineering course!
alishakiba/deep-learning-pipeline
Source Code for 'Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow' by Hisham El-Amir and Mahmoud Hamdy
alishakiba/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
alishakiba/first-contributions
🚀✨ Help beginners to contribute to open source projects
alishakiba/fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
alishakiba/interpretable-ml-book
Book about interpretable machine learning
alishakiba/KoVAE
Koopman VAE (KoVAE), a new generative framework that is based on a novel design for the model prior.
alishakiba/llm101-nci
alishakiba/mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
alishakiba/networkx
Official NetworkX source code repository.
alishakiba/NREL-rdtools
PV Analysis Tools in Python
alishakiba/scikit-learn
scikit-learn: machine learning in Python
alishakiba/shapley_algorithms
alishakiba/Time-Series-Library
A Library for Advanced Deep Time Series Models.
alishakiba/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021