GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — EXARTeo - Overview

@EXARTeo EXARTeo Follow
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
@EXARTeo
EXARTeo
Follow
View EXARTeo's full-sized avatar

Exarchos Theodoros EXARTeo

Follow
21 followers · 15 following
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars

Pinned Loading

  1. Remote-Homology-Search-with-Approximate-Methods-ESM-2 Remote-Homology-Search-with-Approximate-Methods-ESM-2 Public

    A hybrid C++/Python pipeline for remote protein homology detection, coupling ESM-2 language model embeddings with custom Neural-LSH for scalable approximate nearest neighbor search.

    Python 1

  2. Network_File_System-NFS Network_File_System-NFS Public

    A custom Network File System (NFS) implemented in C. Client/Server file system over TCP sockets with command-driven sync operations (LIST/PULL/PUSH) and a multi-worker manager for concurrency.

    C 1

  3. Neural-LSH Neural-LSH Public

    Python/PyTorch pipeline that trains a model and builds an ANN index for approximate nearest-neighbor search using locality-sensitive hashing.

    Python 1

  4. FileSync_System-FSS FileSync_System-FSS Public

    A File Synchronization System written in C, implementing a manager-worker architecture and utilizing inotify for real-time file monitoring and inter-process communication.

    C 1

  5. Nearest-Neighbors Nearest-Neighbors Public

    A C++ implementation of efficient Nearest Neighbor search algorithms (LSH, Random Projection Hypercube, IVFFlat, and IVFPQ) optimized for high-dimensional datasets like SIFT and MNIST.

    C++ 1

  6. exar exar Public

    Personal portfolio website. Built with HTML, CSS, and vanilla JavaScript.

    HTML

Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.

Uh oh!

There was an error while loading. Please reload this page.

You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.