fouratifares / Introduction-to-ML
Introduction to Machine Learning
☆18Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for Introduction-to-ML
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆12Updated last year
- ☆10Updated 9 months ago
- Advanced Machine Learning Fall 2020 Project Repository☆10Updated 3 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆14Updated 11 months ago
- This is the project for Internet-related studies.☆22Updated 3 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆14Updated 3 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated last year
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆15Updated last year
- Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)☆13Updated last year
- ☆14Updated last week
- Federated Learning for 5G Base Station Traffic Forecasting☆42Updated 8 months ago
- The code of flow-by-flow network traffic prediction.☆12Updated 2 years ago
- Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural…☆45Updated 6 months ago
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 2 years ago
- A scheme for privacy-preserving learning on Tiny Devices.☆41Updated 2 years ago
- Sharkticon is an anomaly detection system, it analyzes your network using a Transformers model adapted to the anomaly detection.☆23Updated last year
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆49Updated 2 months ago
- Source code for the paper "Federated Learning with Spiking Neural Networks".☆33Updated 3 years ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆35Updated last year
- This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch☆29Updated last year
- LEXNet: A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification☆10Updated last year
- ☆11Updated 2 years ago
- Conversion from CNNs to SNNs using Tensorflow-Keras☆36Updated 6 months ago
- Datasets for Predictive Maintenance☆103Updated 11 months ago
- Communication-efficient federated continual learning☆14Updated last year
- This is the official implementation of Federated and Split Learning on multiple Raspberry Pi's. It is the demonstration of training the d…☆11Updated 2 years ago
- Federated learning with model quantization☆14Updated 2 years ago
- Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)☆38Updated 6 months ago
- 6 different state of art prediction models applied to mobile network traffic prediction are available.☆18Updated 2 years ago
- Neural Networks Tuner with Genetic Algorithm☆9Updated 3 years ago