fouratifares / Introduction-to-ML
Introduction to Machine Learning
☆17Updated last year
Alternatives and similar repositories for Introduction-to-ML
Users that are interested in Introduction-to-ML are comparing it to the libraries listed below
Sorting:
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆15Updated last year
- Federated Learning for Artificial Intelligence and Machine Learning☆17Updated last year
- The code of flow-by-flow network traffic prediction.☆14Updated 2 years ago
- ☆10Updated last year
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 2 years ago
- ☆12Updated last year
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆43Updated 5 years ago
- Federated PCA on Grassmann Manifold for IoT Anomaly Detection☆17Updated 9 months ago
- This is the project for Internet-related studies.☆24Updated 3 years ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t …☆13Updated last year
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆34Updated 2 years ago
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆15Updated last year
- ☆33Updated 3 years ago
- A research project of anomaly detection on dataset IoT-23☆97Updated 8 months ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆12Updated 2 months ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆36Updated last year
- ☆21Updated 2 years ago
- ☆15Updated 2 years ago
- Serverless federated learning using flwr☆13Updated 6 months ago
- This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆11Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- 6 different state of art prediction models applied to mobile network traffic prediction are available.☆20Updated 2 years ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆19Updated 2 years ago
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆55Updated 8 months ago
- The project aims to analyse different types of attacks using the Bot-IoT dataset and also apply & compare different classification algori…☆12Updated 3 years ago
- A scheme for privacy-preserving learning on Tiny Devices.☆44Updated 3 years ago
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆25Updated 4 years ago
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆31Updated last month
- LEXNet: A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification☆14Updated last year
- ☆19Updated 3 years ago