Alternatives and similar repositories for Locality-Sensitive-Hashing

Users that are interested in Locality-Sensitive-Hashing are comparing it to the libraries listed below

• Jmkernes / Locality-sensitive-hashing-tutorial
  A tutorial on locality sensitive hashing, using MinHashing for document similarity and CosineSimilarity for Euclidean space similarity.
  ☆34Updated 4 years ago
• go2starr / lshhdc
  LSH based high dimensional clustering for sets and points
  ☆80Updated 11 years ago
• brandonrobertz / SparseLSH
  A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.
  ☆148Updated last year
• loretoparisi / lshash
  locality sensitive hashing (LSHASH) for Python3
  ☆73Updated 8 months ago
• brain-research / data-linter
  The Data Linter identifies potential issues (lints) in your ML training data.
  ☆88Updated 8 years ago
• laic-ufmg / Recipe
  Automated machine learning (AutoML) with grammar-based genetic programming
  ☆54Updated last year
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• dataplayer12 / Fly-LSH
  An implementation of efficient LSH inspired by fruit fly brain
  ☆87Updated 7 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 3 years ago
• linkedin / gdmix
  A deep ranking personalization framework
  ☆133Updated 3 weeks ago
• matteodellamico / flexible-clustering
  Clustering for arbitrary data and dissimilarity function
  ☆99Updated last year
• gittar / breathing-k-means
  The "breathing k-means" algorithm with datasets and example notebooks
  ☆95Updated last year
• nnnet / superminhash
  SuperMinHash: A New Minwise Hashing Algorithm for Jaccard Similarity Estimation, Simhash and SimhashIndex
  ☆19Updated 3 years ago
• DiceTechJobs / VectorsInSearch
  Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Sear…
  ☆86Updated 4 years ago
• lyst / rpforest
  It is a forest of random projection trees
  ☆224Updated 5 years ago
• jobergum / dense-vector-ranking-performance
  Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN
  ☆117Updated 4 years ago
• chrisjmccormick / MinHash
  Example Python code for comparing documents using MinHash
  ☆252Updated 6 years ago
• Guangyi-Z / py-aho-corasick
  A pure Python implementation of Aho-Corasick algorithm.
  ☆23Updated 7 years ago
• salesforce / ml4ir
  Machine Learning for Information Retrieval
  ☆86Updated 7 months ago
• mwydmuch / napkinXC
  Extremely simple and fast extreme multi-class and multi-label classifiers.
  ☆70Updated 2 months ago
• mattilyra / LSH
  Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents
  ☆292Updated 2 years ago
• onfido / faiss_prebuilt
  Prebuilt .whl files for MacOS + Linux of the Facebook FAISS library
  ☆56Updated 3 years ago
• hussius / tabnet_fork
  A fork of TabNet by Google Research
  ☆26Updated 2 years ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆117Updated 2 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• awslabs / ml-experiments-schema
  A JSON-based schema for storing declarative descriptions of machine learning experiments
  ☆45Updated 8 years ago
• dougian / lsh
  A simple implementation of locality sensitive hashing in python
  ☆25Updated 8 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• HazyResearch / reef
  Automatically labeling training data
  ☆107Updated 7 years ago
• linkedin / lambda-learner
  Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.
  ☆41Updated 2 years ago