Image similarity in Golang. Version 4 (LATEST)
ISCC: International Standard Content Code
A Simple Image Clustering Script using CLIP and Hierarchial Clustering
Fast image similarity search with hash tables (Golang). Version 2 (LATEST)
Simple library for finding duplicate and near-duplicate text documents in massive sets/libraries/databases
Python library for detecting near duplicate texts in a corpus at scale.
Fast image similarity search with hash tables (Golang). Version 1
Multi module project focused on near-duplicate search for images.
Holds code for near-duplicate image parser using optimized image classifiers.
Scalable near-duplicate image detection using Vision Transformers, Siamese Networks, Triplet Loss, Deep Hashing, and FAISS.
an application for comparing images using various image hashing algorithms
Bachelor's Thesis on Near-Duplicate Image Detection. This repo contains all resources, code, and documentation developed during the process.
Code similarity search by compression - find near-duplicate files, clone families, and where a pasted snippet came from. No embeddings, no model, no vector database.
Find duplicated files including permutations where underscores replace spaces. Allow a tolerance and use a signature for audio files to ignore metadata variations.
Exploiting the PyTerrier library to build a Search Engine and resolve the Near Duplicate Detection tasks.
Analytics pipeline for detecting coordinated inauthentic behavior on social media. Fuses six evidence channels into a weighted graph, then applies Leiden community detection to surface candidate account networks for analyst review. Detects coordination, never automates attribution.
Charikar SimHash near-duplicate detection in pure Go — 64-bit fingerprints plus a banded-LSH index for near-neighbor lookup and clustering. Zero dependencies.
Perceptual video deduplication on Backblaze B2: hash a video library with videohash, cluster near-duplicates by Hamming distance, and reclaim storage. Local, open-source, keyless compute — B2 holds the library, the hash index, and every cluster report.
Discount corpus wide boilerplate before near duplicate scoring, without the duplicates suppressing their own text
First homework for the Advance Data Mining course
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