mlsoft-oz

mlsoft-oz's Stars

• shramos/Awesome-Cybersecurity-Datasets

  A curated list of amazingly awesome Cybersecurity datasets

  1.4k446263

• teddylee777/langchain-kr

  LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

  Language:Jupyter Notebook1.1k326275

• Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

  Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

  Language:Jupyter Notebook414116107

• PacktPublishing/Getting-Started-with-Google-BERT

  Getting Started with Google BERT, published by Packt

  Language:Jupyter Notebook238126115

• alik604/cyber-security

  Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

  Language:Jupyter Notebook1916146

• Jjschwartz/NetworkAttackSimulator

  An environment for testing AI pentesting agents against a simulated network.

  Language:Python165102548

• abhinav-bhardwaj/Network-Intrusion-Detection-Using-Machine-Learning

  A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

  Language:Jupyter Notebook1133246

• dimtics/Network-Intrusion-Detection-Using-Machine-Learning-Techniques

  Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.

  Language:Jupyter Notebook996344

• Mamcose/NSL-KDD-Network-Intrusion-Detection

  Machine Learning Algorithms on NSL-KDD dataset

  Language:Jupyter Notebook875043

• markusring/CIDDS

  Coburg Intrusion Detection Data Sets

  Language:Python47649

• SPIN-UMass/DeepCorr

  Language:Python31517

• Yasir-ali-farrukh/Payload-Byte

  Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.

  Language:Jupyter Notebook27343

• rdpahalavan/nids-datasets

  Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)

  Language:Python13221

• rdpahalavan/nids-transformers

  Tag Generation and Text Generation Inference for Network Packets using Transformers

  Language:Python9110

• nsol-nmsu/FML-Network

  FLNET2023 is a dataset designed for intrusion detection in Federated Learning scenarios. It's built using the CORE emulator, simulating a realistic network with varied traffic and attacks. It serves as a benchmark for research in federated learning-based intrusion detection.

  1100