qasemabdullah

300Days__MachineLearningDeepLearning

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Agent-Based-Simulations-for-5G-Edge

Three Agent-Based Simulation for Edge Computing in 5G and Beyond for the recent paper titled "Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond" by Hamed Rahimi et al.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Basics-Linear-Mixed-Model

Binary-Hybrid-algorithm-of-particle-swarm-optimization-and-Grey-Wolf-optimizer

Al-Tashi, Q., Abdulkadir, S. J., Rais, H. M., Mirjalili, S., & Alhussian, H. (2019). Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection. IEEE Access, 1–1. doi:10.1109/access.2019.2906757

BMOGWO-S

Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification

Feature_selection

Feature selection methods using optimization algroithms

Hybrid-Binary-GWO-FS

Al-Tashi, Q. et al(2019). Binary optimization using hybrid grey wolf optimization for feature selection. IEEE Access, 7, 39496-39508. Link for algorithm details: Paper https://ieeexplore.ieee.org/abstract/document/8672550

SwarmDeepSurv

SwarmDeepSurv: Swarm Intelligence Advances Deep Survival Network for Prognostic Radiomics Signatures in Four Solid Cancers

qasemabdullah/Hybrid-Binary-GWO-FS

Al-Tashi, Q. et al(2019). Binary optimization using hybrid grey wolf optimization for feature selection. IEEE Access, 7, 39496-39508. Link for algorithm details: Paper https://ieeexplore.ieee.org/abstract/document/8672550

qasemabdullah/BMOGWO-S

Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification

qasemabdullah/Feature_selection

Feature selection methods using optimization algroithms

qasemabdullah/SwarmDeepSurv

SwarmDeepSurv: Swarm Intelligence Advances Deep Survival Network for Prognostic Radiomics Signatures in Four Solid Cancers

qasemabdullah/300Days__MachineLearningDeepLearning

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

qasemabdullah/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

qasemabdullah/anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

qasemabdullah/Basics-Linear-Mixed-Model

qasemabdullah/Binary-Hybrid-algorithm-of-particle-swarm-optimization-and-Grey-Wolf-optimizer

Al-Tashi, Q., Abdulkadir, S. J., Rais, H. M., Mirjalili, S., & Alhussian, H. (2019). Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection. IEEE Access, 1–1. doi:10.1109/access.2019.2906757

qasemabdullah/Class_imbalance

This repository contains codes for solving class imbalance problem using optimization algorithm

qasemabdullah/CLIP

Contrastive Language-Image Pretraining

qasemabdullah/cs-video-courses

List of Computer Science courses with video lectures.

qasemabdullah/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

qasemabdullah/DataScienceTools

Useful Data Science and Machine Learning Tools,Libraries and Packages

qasemabdullah/HHO-ML

qasemabdullah/intro-to-deepcell

An introduction to deepcell and deep learning

qasemabdullah/LLM-Survey

qasemabdullah/machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

qasemabdullah/mafese

The biggest library for Feature Selection (FS) problem using Meta-Heuristic Algorithms

qasemabdullah/multisurv

Multimodal deep learning model for long-term cancer survival prediction

qasemabdullah/PanCancer_ISDs

This repository contains code and data to reproduce the results of our work on pancancer survival prediction from whole transcriptome data.

qasemabdullah/personalized

Methods for subgroup identification / personalized medicine / individualized treatment rules

qasemabdullah/pnet_prostate_paper

P-NET, Biologically informed deep neural network for prostate cancer classification and discovery

qasemabdullah/pyGRNN

Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also provided

qasemabdullah/Python

All Algorithms implemented in Python

qasemabdullah/python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

qasemabdullah/pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

qasemabdullah/ST-Net

Deep learning on histopathology images.

qasemabdullah/yomo

🦖 Streaming-Serverless Framework for Low-latency Edge Computing applications, running atop QUIC protocol, engaging 5G technology.

qasemabdullah/zero-to-mastery-ml

All course materials for the Zero to Mastery Machine Learning and Data Science course.