fouratifares / Introduction-to-MLLinks
Introduction to Machine Learning
☆16Updated 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:
- ☆13Updated last year
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 3 years ago
- Course site for CS-E4740 Federated Learning☆14Updated 3 months ago
- Advanced Machine Learning Fall 2020 Project Repository☆12Updated 4 years ago
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆35Updated 3 years ago
- DNN partition edge-cloud co-infer☆11Updated 2 years ago
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆16Updated last year
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆13Updated 2 years ago
- Federated Learning for 5G Base Station Traffic Forecasting☆65Updated 6 months ago
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆58Updated last year
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆17Updated 2 years ago
- The source code for citywide wireless traffic prediction based on deep learning (DenseNet)☆21Updated 6 years ago
- Federated learning framework made by researchers for researchers :)☆46Updated 2 weeks ago
- ☆11Updated 3 years ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆36Updated 2 years ago
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing☆17Updated 3 years ago
- A scheme for privacy-preserving learning on Tiny Devices.☆46Updated 3 years ago
- ☆14Updated 2 years ago
- Repository implementing the lightweight split learning framework enabling edge devices to collaboratively train machine learning models w…☆10Updated last year
- Pytorch-based early exit network inspired by branchynet☆34Updated 6 months ago
- Pytorch implementation of Spiking Neural Networks for Human Activity Recognition.☆21Updated 2 years ago
- ☆15Updated 4 years ago
- Analysis of real cellular traffic captured on a device☆14Updated 6 years ago
- Channel Charting demo for ESPARGOS datasets, related to paper "ESPARGOS: Phase-Coherent WiFi CSI Datasets for Wireless Sensing Research"☆19Updated last year
- Auto-Split: A General Framework of Collaborative Edge-Cloud AI☆13Updated 4 years ago
- 网络流量预测☆22Updated 2 years ago
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆29Updated 5 years ago
- Deep neural network (DNN) implementation for inference tasks☆13Updated 6 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆15Updated 4 years ago
- Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"☆14Updated 3 months ago