Arezoo-Dahesh
Business Intelligence Specialist | Data science researcher
Sepahan Battery Industrial ComplexIsfahan-Iran
Arezoo-Dahesh's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
keras-team/keras
Deep Learning for humans
mindsdb/mindsdb
The platform for building AI from enterprise data
shenweichen/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
dair-ai/ML-Notebooks
:fire: Machine Learning Notebooks
aditya-grover/node2vec
https-deeplearning-ai/tensorflow-1-public
tkipf/gae
Implementation of Graph Auto-Encoders in TensorFlow
thieu1995/mealpy
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
WillKoehrsen/hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
LearnDataSci/articles
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
FanzhenLiu/Awesome-Deep-Community-Detection
Deep and conventional community detection related papers, implementations, datasets, and tools.
kaushalshetty/FeatureSelectionGA
Feature Selection using Genetic Algorithm (DEAP Framework)
CambridgeUniversityPress/FirstCourseNetworkScience
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
palash1992/DynamicGEM
XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
ardendertat/Applied-Deep-Learning-with-Keras
Deep Learning examples with Keras.
deezer/linear_graph_autoencoders
Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)
jaumpedro214/posts
A list of all my posts and personal projects
Alireza-Akhavan/tf2-tutorial
Tensorflow 2 Tutorials (use tensorflow and keras in a better way!)
deezer/fastgae
Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Remy, M. Moussallam and M. Vazirgiannis (2020)
Pangyk/Graph_AE
imayachita/Explore_GCN
Explore Graph Convolutional Networks
BabakBazghale/spring-boot-mongodb-graphql
hooridahesh/ApLabGitPractice
A Repo for My Students in Advanced Programming Workshop to practice what they have learn about Git & GitHub
hooridahesh/clean-code-persian
ترجمه گروهی کتاب کدتمیز
hooridahesh/Simple-form
hooridahesh/Simple-Game
This is a simple game written in C++ using object orientation.
hooridahesh/Tic-Tac-Toe
This is a two-player game made using C++ and socket programming