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100 Days of ML Coding
Machine Learning Lectures at the European Space Agency (ESA) in 2018
NewWorld
Ant Colony based Clustering using MATLAB
Adaptive Modulation using k-NN classification for OFDM system
Draw on Screen using Webcam , Built using JS No GPU or Pre-request needed. Easy to integrate on your own apps.
How data science is woven into the fabric of Stitch Fix
Octave/Matlab Implementation for Job Shop Scheduling Problem
A collection of algorithms for anomaly detection
This code is for a MATLAB GUI in which AODV routing protocol is implemented for WSN. The source nodes are changing each time with number of packets.
Reinforcement learning based scheduling algorithm for optimizing AoI in URLLC networks
Algorithms to identify common dept store commodities using Computer Vision & Neural Networks implemented in MATLAB
Reads your hand signs and translates them to English words using Tensorflow object detection API
Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Malicious Control, Malicious Operation, Scan, Spying and Wrong Setup are such attacks and anomalies which can cause an IoT system failure. In this paper, performances of several machine learning models have been compared to predict attacks and anomalies on the IoT systems accurately. The machine learning (ML) algorithms that have been used here are Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN). The evaluation metrics used in the comparison of performance are accuracy, precision, recall, f1 score, and area under the Receiver Operating Characteristic Curve. The system obtained 99.4% test accuracy for Decision Tree, Random Forest, and ANN. Though these techniques have the same accuracy, other metrics prove that Random Forest performs comparatively better.
Data transmission over sound waves written in JavaScript without any dependencies. All you need is just microphone, speakers and the browser!
Authentication and Autorization in GraphQL-Server with Node.js
A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)
A curated list of awesome big data frameworks, ressources and other awesomeness.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
A curated list of awesome Python frameworks, libraries, software and resources
Resources for working with time series and sequence data
On the Application of BAC-NOMA to 6G umMTC
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
Agent Based Simulation platform for CityScope
This project uses A* search algorithm to optimize the average battery lifetime of a network of wireless sensor nodes
Code for "Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning", IEEE Transactions on Computers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.