MadMax678

MadMax678's Stars

• ZhiningLiu1998/mesa

  [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

  Language:Jupyter Notebook10526

• analyticalmindsltd/smote_variants

  A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

  Language:Jupyter Notebook645138

• shramos/Awesome-Cybersecurity-Datasets

  A curated list of amazingly awesome Cybersecurity datasets

  1.4k268

• aifromphytsai/gan_sampling

  Tutorial: A simple GAN to generate samples from Gaussian distribution

  Language:Jupyter Notebook32

• ZhiningLiu1998/awesome-imbalanced-learning

  😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

  1.4k226

• chinawindofmay/multi-objective-optimization-NSGA2

  multi-objective optimization NSGA2

  Language:Python172

• amkatrutsa/edm

  Equiangular direction method for multi-objective optimization

  Language:Jupyter Notebook4

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• ndionysus/multitask-cyberthreat-detection

  This repository holds the data, source code and resulting model weights for the paper "Towards end-to-end Cyberthreat Detection from Twitter using Multi-Task Learning" to be presented at IJCNN 2020.

  Language:Python162

• kahramankostas/Anomaly-Detection-in-Networks-Using-Machine-Learning

  A thesis submitted for the degree of Master of Science in Computer Networks and Security

  Language:Jupyter Notebook20469

• ulookme/CyberSecurity-Data-Science

  Use machine learning to classify malware. Malware analysis 101. Set up a cybersecurity lab environment. Learn how to tackle data class imbalance. Unsupervised anomaly detection. End-to-end deep neural networks for malware classification. Create a machine learning Intrusion Detection System (IDS). Employ machine learning for offensive security. Learn how to address False Positive constraints. Break a CAPTCHA system using machine learning.

  Language:Jupyter Notebook163

• alik604/cyber-security

  Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

  Language:Jupyter Notebook19846

• Sakura-gh/ML-assignments

  about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning.

  Language:Jupyter Notebook22583

• LIUxDD/MalwareGAN

  Adversarial Malware Generator Using GANs

  1

• HSE-LAMBDA/one_plus_e

  For the code of the experiments for "(1+ε)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets" paper, please, see

  Language:Jupyter Notebook31

• stephanieger/imbalanced-sequence-classification

  Methods for generating synthetic minority data for multivariate temporal data to improve classification accuracy.

  Language:Python144

• nsadawi/Imbalanced-Classification

  Contains Python code for my Imbalanced-Classification training course!

  Language:Jupyter Notebook3724

• suraj1ly/Deep-RL-for-Imbalanced-Classification

  Deep Reinforcement Learning for Imbalanced Classification

  Language:Python196

• lvyilin/DGC

  Official implementation of CVPR2020 paper "Deep Generative Model for Robust Imbalance Classification"

  Language:Python154

• handsomebrothers/An-Empirical-Study-for-GAN-metrics

  Language:Jupyter Notebook2

• KiteFlyKid/ECommerceCrawlers

  实战🐍多种网站、电商数据爬虫🕷。包含🕸：淘宝商品、微信公众号、大众点评、企查查、招聘网站、闲鱼、阿里任务、博客园、微博、百度贴吧、豆瓣电影、包图网、全景网、豆瓣音乐、某省药监局、搜狐新闻、机器学习文本采集、fofa资产采集、汽车之家、国家统计局、百度关键词收录数、蜘蛛泛目录、今日头条、豆瓣影评、携程、小米应用商店❤️❤️❤️。微信爬虫展示项目:

  1

• regel/loudml

  Loud ML is the first open-source AI solution for ICT and IoT automation

  Language:Python29994

• tim-learn/BA3US

  code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

  Language:Python4111

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.5k1.8k

• ptocca/VennABERS

  Fast implementation of Venn-ABERS probabilistic predictors

  Language:Jupyter Notebook7116

• datamllab/pyodds

  An End-to-end Outlier Detection System

  Language:Python25239

• hastic-zzz/hastic-grafana-app

  Hastic data management server for labeling patterns and anomalies in Grafana

  Language:TypeScript18018

• vb100/AnomaliesDetection-with-TimeSeriesAnalysis

  This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean Clustering, SVM and Gausian Distribution models has been used to detect anomalies on time series data.

  Language:Jupyter Notebook218

• aqibsaeed/Multilabel-timeseries-classification-with-LSTM

  Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

  Language:Jupyter Notebook576187

• BBVA/timecop

  Time series based anomaly detector

  Language:Python8217