Alternatives and similar repositories for lshash

Users that are interested in lshash are comparing it to the libraries listed below

• matteodellamico / flexible-clustering
  Clustering for arbitrary data and dissimilarity function
  ☆96Updated last year
• mwydmuch / napkinXC
  Extremely simple and fast extreme multi-class and multi-label classifiers.
  ☆70Updated 5 months ago
• Extreme-classification / DECAF
  DECAF: Deep Extreme Classification with Label Features
  ☆54Updated 3 years ago
• zhaoxy92 / GLaRA
  GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
  ☆31Updated 3 years ago
• smeznar / SNoRe
  SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
  ☆11Updated 2 years ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆102Updated 7 months ago
• xinyandai / string-embed
  string embed for fast edit distance computation, codes for [Convolutional Embedding for Edit Distance (SIGIR 20)].
  ☆62Updated 2 years ago
• chrisPiemonte / url2vec
  Graph clustering and Node embeddings with word2vec
  ☆14Updated 6 years ago
• michael-aloys / awesome-weak-supervision
  ☆40Updated 2 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆59Updated 7 years ago
• kunaldahiya / pyxclib
  Tools for multi-label classification problems.
  ☆129Updated 5 months ago
• graph-embeddings / pbg-helper
  This is a helper for PyTorch-BigGraph
  ☆22Updated 5 years ago
• twistedcubic / learn-to-hash
  Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.
  ☆73Updated 4 years ago
• ArjitJ / DIAL
  Implementation of the paper "Deep Indexed Active Learning for Matching Heterogeneous Entity Representations"
  ☆18Updated 3 years ago
• senwu / emmental
  A deep learning framework for building multimodal multi-task learning systems.
  ☆111Updated 2 years ago
• HazyResearch / snorkel-superglue
  Applying Snorkel to SuperGLUE
  ☆26Updated 5 years ago
• guofei9987 / pyLSHash
  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
  ☆59Updated last year
• hussius / tabnet_fork
  A fork of TabNet by Google Research
  ☆26Updated 2 years ago
• pdrm83 / sent2vec
  How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
  ☆134Updated 3 years ago
• mberr / torch-ppr
  (Personalized) Page-Rank computation using PyTorch
  ☆92Updated 2 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 2 years ago
• dougian / lsh
  A simple implementation of locality sensitive hashing in python
  ☆25Updated 8 years ago
• StatguyUser / TextFeatureSelection
  Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for impr…
  ☆53Updated last year
• Extreme-classification / deepxml
  Implementation of DeepXML
  ☆61Updated 3 years ago
• abhilash1910 / ClusterTransformer
  Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from hu…
  ☆43Updated 4 years ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆30Updated 4 years ago
• onfido / faiss_prebuilt
  Prebuilt .whl files for MacOS + Linux of the Facebook FAISS library
  ☆56Updated 3 years ago
• PanpanZheng / SAFE
  ☆35Updated 5 years ago
• kramerlab / direct-ranker
  Code and Supplementary Material to the Paper: Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysi…
  ☆37Updated 2 years ago
• skesiraju / BaySMM
  Model for learning document embeddings along with their uncertainties
  ☆36Updated last year