cy601

cy601's Stars

• lencx/ChatGPT

  🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

  Language:Rust53.4k6k

• sepandhaghighi/pycm

  Multi-class confusion matrix library in Python

  Language:Python1.5k126

• qiurunze123/miaosha

  ⭐⭐⭐⭐秒杀系统设计与实现.互联网工程师进阶与分析🙋🐓

  Language:Java26.2k6.6k

• marco-swz/Multi-Head-Attention-For-Binary-Classification

  Language:Jupyter Notebook1

• vuthily/acgansvm

  This is the implementation of acgan-svm in our paper.

  Language:Jupyter Notebook2

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k23.3k

• zhang-hongpo/SGM-CNN

  Our implementations of the flow-based network intrusion detection model (for the COMNET paper)

  Language:Jupyter Notebook4318

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• hrshtv/Twitter-Sentiment-Analysis

  BiLSTM with Multi-Headed Self Attention for sentiment classification of Twitter data, implemented in Keras and PyTorch.

  Language:Jupyter Notebook273

• bojone/attention

  some attention implements

  Language:Python1.4k512

• abdelrhman-hamdy/Intrusion-Detection-System-for-SDN-based-network-using-Semi-supervised-machine-learning-approach

  Language:Jupyter Notebook4

• nathanhubens/Autoencoders

  Implementation of simple autoencoders networks with Keras

  Language:Jupyter Notebook23993

• vanloicao/SAEDVAE

  This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not hesitate to contact me via email: loi.cao@ucdconnect.ie OR loi.cao@lqdtu.edu.vn

  Language:Python188

• pfreitasaf/FIDGAN

  Language:Python216

• arif6008/Intrusion_Detection_Using_CICIDS2017

  Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets

  Language:Jupyter Notebook121

• Bil369/IDS2018-DDoS-Traffic-Classify

  基于IDS 2018数据集使用LightGBM和XGBoost实现DDoS流量分类 sFlow RT&Mininet流量采集与分类 杭电综合项目实践

  Language:Jupyter Notebook257

• vinayakumarr/Network-Intrusion-Detection

  Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

  Language:Python690238

• Leeport/TSVM-using-kdd99

  TSVM using kdd99

  Language:Python4

• AbertayMachineLearningGroup/MQTT_ML

  Language:Python3112

• abhinavjain03/neuroevolution-deepneat

  Language:Python121

• nadhirfr/cic-ids-2018

  CSE-CIC-IDS-2018 analyze with Random Forest

  Language:Jupyter Notebook299

• mahendradata/cicids2017-ml

  The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.

  Language:Jupyter Notebook5718

• newxd/NNIA

  Nondominated Neighbor Immune Algorithm (NNIA) is proposed for multiobjective optimization by using a novel nondominated neighbor-based selection technique, an immune inspired operator, two heuristic search operators, and elitism.

  Language:Python82

• joejoseph007/2018_09_05

  Genetic Algorithms, IWO, NSGA 2, NSIWO, NSDIWO

  Language:Python1

• Alro10/awesome-deep-neuroevolution

  A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

  22235

• jMetal/jMetalPy

  A framework for single/multi-objective optimization with metaheuristics

  Language:Python534151

• mohssen00/MLACO

  Multi-label feature selection using Ant colony optimization

  Language:MATLAB148

• JingweiToo/Machine-Learning-Toolbox

  This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

  Language:MATLAB236

• JingweiToo/Wrapper-Feature-Selection-Toolbox

  This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

  Language:MATLAB17237

• gcosma/ClanBasedCulturalAlgorithFS

  Clan-based Cultural Algorithm for Feature Selection

  Language:MATLAB32