Search your object with hash
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Updated
Dec 8, 2022 - Python
Search your object with hash
Locality Sensitive Hashing, fuzzy-hash, min-hash, simhash, aHash, pHash, dHash。基于 Hash值的图片相似度、文本相似度
An implementation of Locality sensitive hashing
Image classification and unsupervised learning using latent space vectors produced by convolutional neural nets together with the original vectors space
📈 kNN using LSH and Hypercube projection & Clustering using kMeans++ for n-dim polygonal curves and time series
Vectors - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with L2 metric.
A Robust Library in C# for Similarity Estimation
Dataset deduplication using the spark ML lib and Scala
distill large scale web page text
In this repository you can find an implementation of LSH (Local | Sensitive Hashing) and Finesse algorithms, designed to find similar data based on their hashes
TTAK.KO-12.0276 LSH Recursive Hasher
Implementation tasks for multiple algorithms to process massive data. The algorithms are written in Python.
This is a task using python to find number of similar songs within the provided songs set.
Image Retrieval implementation using Deep Learning and Kernelized Locality-Sensitive Hashing
📈|Time Series - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with metrics: L2, Discrete and Continuous Fréchet.
Recommendation System on cryptocurrency, using data collected from users' tweets + 10-Fold Cross Validation ( Based on the cryptocoins from each user's tweets, the program runs algorithms on the data, resulting in the recommendation of other cryptocoins for each user) ( readme in greek but soon to be translated in English )
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