fengyuhun

Oort

Oort: Efficient Federated Learning via Guided Participant Selection

On_simulating_energy_consumption_of_federated_learning_systems

A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protocols, proposed by Mo et. al. Energy consumption is computed during training along with energy consumed by communications between local machines and the server.

energy-optimal-federated-learning

Set of scheduling algorithms to minimize the energy consumption of Federated Learning training rounds.

Green-Quantized-FL-over-Wireless-Networks-An-Energy-Efficient-Design

This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design".

ereno

SCFL

federated-learning

pykan

Kolmogorov Arnold Networks

els-cas-templates

Elsevier template 'els-cas-templates'.

elsarticle

Elsevier template 'elsarticle'.

iec61850generator

mamba

Mamba SSM architecture

Reinforcement-Learning

《强化学习必修课：引领智能新时代》配套代码

Dataset-GOOSE-attacks

Awesome-Learning-Resource

A curated list of all kinds of learning resources, blogs, books, videos and so on.

ICS-TestBed-Framework

ICS TestBed Framework

The-Kaggle-Workbook

Code Repository for The Kaggle Workbook, Published by Packt

IEC61850SecurityDataset

qrs21-dl-anomaly-detection-scada

This repository contains the code for our paper "On the Effects of Data Sampling for Deep Learning on Highly Imbalanced Data from SCADA PowerGrid Substation Networks for Intrusion Detection".

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Deep-Reinforcement-Learning-Algorithms-with-Pytorch

Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

Hands-on-RL

https://hrl.boyuai.com/

joyrl-book

rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Deep-Reinforcement-Learning

Automated Heterogeneous IoT Attack Detection through Deep Reinforcement Learning: A Dynamic Machine Learning Approach

awesome-rl-for-cybersecurity

A curated list of resources dedicated to reinforcement learning applied to cyber security.

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

lossless-cut

The swiss army knife of lossless video/audio editing

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学