aouedions11

Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

aouedions11.github.io

FedIoT

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection

metrics-server

Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.

ml_privacy_meter

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

Network_Traffc_prediction

nomaly-based-Intrusion-Detection-Technique-for-IoT-Enabled-Smart-Cities

This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted for IoT-smart city networks, the upper layer network uses a gradient boosting classifier while the lower layer network employs deep learning (DL) based on the combination of a long-short-term memory and a convolutional neural network (CNN-LSTM).

opacus

Training PyTorch models with differential privacy

open-neuromorphic

List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.

openfl

An open framework for Federated Learning.

PFL-Non-IID

Personalized federated learning simulation platform with non-IID and unbalanced dataset

5G3E-dataset

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

atic-frontend-app

awesome-graph-transformer

Papers about graph transformers.

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

Failed-ML

Compilation of high-profile real-world examples of failed machine learning projects

FedAA

federated

A collection of Google research projects related to Federated Learning and Federated Analytics.

federated-learning-lib

A library for federated learning (a distributed machine learning process) in an enterprise environment.

FedGen

Code and data accompanying the FedGen paper

GNN_NTP

GradAttack

GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.

kedro-mlflow

A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)

membership-inference-machine-learning-literature

ML-Doctor

code for ML Doctor

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

SNN_HAR

Pytorch implementation of Spiking Neural Networks for Human Activity Recognition.

tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

zero-shot-unlearning

Official repo of the paper Zero-Shot Machine Unlearning accepted in IEEE Transactions on Information Forensics and Security