nepiskopos Goto Github PK
Name: Nikolaos Episkopos
Type: User
Company: INLECOM
Bio: Software Developer, Data Scientist and R&D Engineer.
Location: Greece
Name: Nikolaos Episkopos
Type: User
Company: INLECOM
Bio: Software Developer, Data Scientist and R&D Engineer.
Location: Greece
2D Heat Conduction Simulation with Jacobi equation utilizing Parallel Processing through MPI, OpenMP and CUDA.
Artificial intelligence automated planning and scheduling.
Machine Learning and Deep Learning techniques for regression.
Machine learning pipeline for hiding small children faces in pictures to conceal their identity and protect their privacy.
Convolutional Neural Networks for classification with the SVHN dataset.
Fully-connected vs Convolutional neural networks for multi-class image classification
Fully connected Neural Networks for classification with the MNIST database.
Knowledge extraction through Data Analysis, including Locality Sensitive Hashing (LSH).
A framework for implementing federated learning
A library for federated learning (a distributed machine learning process) in an enterprise environment.
Flower: A Friendly Federated Learning Framework
Query News API for a topic and perform sentiment analysis.
Pattern recognition image classification using moment invariants.
Pattern recognition image classification using textural features.
Linux Process Synchronization and Communication using Semaphores and Shared Memory Segments.
Translation of logical addresses to physical addresses, using translation lookaside buffer (TLB).
A name generator made in python. Generates names by gender and language.
My files and scripts regarding ns-3 simulator.
7zip in python3 with ZStandard, PPMd, LZMA2, LZMA1, Delta, BCJ, BZip2, and Deflate compressions, and AES encryption.
Data analysis and presentation for performance evaluation and comparison of a set of systems developed as part of the RE-CENT project.
Simple face alignment algorithms evaluation.
Simple face detection algorithms evaluation.
Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Flower framework.
Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Flower framework.
Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the TensorFlow Federated framework.
Fraudulent job advertising analysis and detection using Spark, PySpark and Python Machine learning.
A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.
String matching and edit stistance in DNA strings in Molecular Biology problems.
String k-mer pattern search in DNA strings in Molecular Biology problems.
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.