rauniyar01 Goto Github PK

fl-edge-computing

fldrl-in-wireless-communication

Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication

flora

This is a set of modules to simulate LoRa networks

flsim

A simulation framework for Federated Learning written in PyTorch

flutter_ssd_mobilenet

TBD

fogcomputing

fogcomputing-1

This is a fog computing framework consisting of fog node application, cloud application and user application.

fogernetes

Using Kubernetes for Fog Computing

fognode_iot

Designing Fog Nodes, in relevence to Cloud Computing and IoT. See pdf for details,

fogsim

A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments

fogtorchpi

A probabilistic prototype for deployment of Fog applications.

game-theory-and-python

Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma

game-theory-cheat-sheet

Game Theory Cheat Sheet

game_theory_models

Python code for game theory modeling

gradation-thesis

A Secure Transmission Scheme Based on Chaotic Coding

graph-algorithms

Graph related algorithms

graphql-car-demo

Building an application using react, MySQL and graphql to demonstrate the concept

graphql-vehicleshop

Sample API written using GraphQL.

graphql2chartjs

graphql2chartjs reshapes your GraphQL data as per the ChartJS API.

greedyfed

guacamole-recipe

For the github course

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hands-on-artificial-intelligence-for-iot

Hands-On Artificial Intelligence for IoT, published by Packt

har-using-federated-learning

hasura-chat

Building a chat application using react with apollo react hooks and hasura

heepscc

A new hybrid routing protocol which laid focus on both energy efficiency and stability. Published in International Journal of Computer Applications.

hierfl

Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning

hole-and-boundary-node-detection-in-wireless-sensor-network-wsn-

human-activity-recognition

Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.

human-motion-analysis-from-uav-video