qasemabdullah Goto Github PK

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

class_imbalance

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

clip

Contrastive Language-Image Pretraining

covid-19-rct-stat-tools

Statistical methods for analyzing data from trials of COVID-19 treatments

cs-video-courses

List of Computer Science courses with video lectures.

d2l-en

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

datasciencetools

Useful Data Science and Machine Learning Tools,Libraries and Packages

feature-selection-for-machine-learning

feature-selection-for-machine-learning

feature_selection

Feature selection methods using optimization algroithms

heart-disease-detection-

This repo is for diagnosing heart disease by using Particle Swarms optimization algorithm for feature selection and random forest for detection

hho-ml

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

intro-to-deepcell

An introduction to deepcell and deep learning

llm-survey

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.

mafese

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

medical-data

metaheuristicoptimization

Different meta-heuristic optimization techniques for feature selection

multisurv

Multimodal deep learning model for long-term cancer survival prediction

pancancer_isds

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

personalized

Methods for subgroup identification / personalized medicine / individualized treatment rules

pnet_prostate_paper

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

pygrnn

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

python

All Algorithms implemented in Python