Yuyuaj's Stars
HeshamAsem/1000MLProjects
arsheen/IDS-on-SDN-using-Machine-Learning
Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.
travistangvh/ChatGPT-Data-Science-Prompts
A repository of 60 useful data science prompts for ChatGPT
PseudoKush/Intrusion-Detection-System
chenliangchen/Intrusion-Detection-System-for-the-Internet-of-Things
To perform the experiments, CICIDS2017 intrusion detection dataset has been used because it contains benign and the most up-to-date common attacks. However, the project is supposed to work on any publicly available PCAP/TCPDUMP file. Find the CICIDS2017 dataset here:
vinayakumarr/Network-Intrusion-Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
optuna/optuna
A hyperparameter optimization framework
KrishnaManmayi/Hyper-Parameter-Optimization-of-CNN-using-genetic-algorithm
Classification of Cifar-10 dataset using a convolutional neural network. The hyper parameters to construct CNN architecture are optimized using genetic algorithm.
Ja7ad/W3Schools
W3Schools Full Offline Version
ryanxjhan/TensorFlow-2.x-Cheat-Sheet
TensorFlow is an open-source software library for highperformance numerical computation. Its flexible architecture enables to easily deploy computation across a variety of platforms (CPUs, GPUs, and TPUs), as well as mobile and edge devices, desktops, and clusters of servers. TensorFlow comes with strong support for machine learning and deep learning.
ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
feferna/psoCNN
Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.
mahmoud857/HDFC-Stock-price-predication-with-accuracy-99-
In this project, I used a data about stock prices on the stock exchange for HDFC Bank and implemented machine learning algorithms to predict stock prices in the stock market. To make it easier, I made a GUI for the program
subpath/neuro-evolution
Wrapper for neural evolution approach for hyperparameter tuning
BrentonBudler/ResearchProject2021
Comparative Analysis of Deep Learning Models for Network Intrusion Detection Systems
keras-team/keras-tuner
A Hyperparameter Tuning Library for Keras
UKPLab/sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
mohaddad/COVID-FAKES
Bilingual (Arabic/English) COVID-19 Twitter dataset for misleading information detection
vinthony/pso-cnn
Unofficial implementation of paper “Particle Swarm Optimization for Hyper-Parameter Selection in Deep Neural Networks” using Tensorflow/Keras
lmarti/evolutionary-computation-course
Jupyter/IPython notebooks about evolutionary computation.
AlessandroSaviolo/Evolving-CNNs-using-GA
Evolving Architectures for Convolutional Neural Networks using the Genetic Algorithm
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
HossamFakher1/HossamFakher1
Config files for my GitHub profile.
ariG23498/GA-hyper-params
Variable Length Genetic Algorithm for hyperparameter optimization of a CNN
ahmedfgad/GARI
GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
AIArabicProjects/Speech-to-Text-Model-using-Python-
Paperspace/DataAugmentationForObjectDetection
Data Augmentation For Object Detection
alex04072000/ObstructionRemoval
[CVPR 2020] Learning to See Through Obstructions
dragen1860/Deep-Learning-with-TensorFlow-book
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
mbadry1/Top-Deep-Learning
Top 200 deep learning Github repositories sorted by the number of stars.