Alternatives and similar repositories for Sampled-MinHashing

Users that are interested in Sampled-MinHashing are comparing it to the libraries listed below

• shweta20gupta / knowledgeEmbedding
  Link Prediction using Knowledge Embedding in Tensorflow
  ☆13Updated 8 years ago
• gibranfp / SMH-Topic-Discovery
  Large-scale topic discovery with Sampled-MinHashing
  ☆10Updated 5 years ago
• brett-pplx / AMC
  Code for KDD 2014 paper "Mining Topics in Documents: Standing on the Shoulders of Big Data"
  ☆21Updated 9 years ago
• neubig / lxmls-2017
  Slides/code for the Lisbon machine learning school 2017
  ☆28Updated 7 years ago
• allenai / tableilp
  Question Answering via Integer Programming (TableILP)
  ☆28Updated 9 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• davidjurgens / similarity-tutorial
  A collection of documents and materials for the EMNLP-2015 Semantic Similarity tutorial
  ☆30Updated 9 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• j-min / TensorFlow-Pointer-Networks
  TensorFlow implementation of Pointer Networks
  ☆12Updated 8 years ago
• harrywy / NPM
  Experiment code for AAAI paper: A Neural Probabilistic Model for Context Based Citation Recommendation
  ☆9Updated 7 years ago
• anoperson / DeepIE
  An Information Extraction Framework with Deep Learning developed at New York University
  ☆15Updated 8 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 9 years ago
• nouiz / ccw_tutorial_theano
  Common Code Workflow tutorial on Theano
  ☆16Updated 9 years ago
• germank / compatibility-naacl2015
  Code for "So similar and yet incompatible: Toward the automated identification of semantically compatible words" in NAACL 2015 proceedi…
  ☆11Updated 10 years ago
• allenai / brat
  brat rapid annotation tool (brat) - for all your textual annotation needs
  ☆10Updated 7 years ago
• ankazhao / python-sparselda
  A Latent Dirichlet Allocation topic modeling package based on SparseLDA Gibbs Sampling inference algorithm
  ☆8Updated 12 years ago
• brett-pplx / GKLDA
  Code for the CIKM 2013 paper "Discovering Coherent Topics Using General Knowledge"
  ☆11Updated 10 years ago
• yjernite / DeepCRF
  A suite of tools for sequence tagging, including regular and "deep" CRF, as well as convolutional and recurrent neural networks.
  ☆9Updated 9 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago
• Ian09 / SupervisedDeepDocNADE
  A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970
  ☆39Updated 9 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• wookayin / TensorflowKR-2016-talk-debugging
  A talk on TensorFlow debugging -- REPOSITORY MOVED TO:
  ☆8Updated 8 years ago
• burness / arxiv_tools
  A tool to get the arxiv papers
  ☆20Updated 8 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• abhishek-kumar / NNForMLL
  Neural Network Models for Multi-label learning
  ☆17Updated 4 years ago
• nguyenkh / NeuralDenoising
  Neural-based Noise Filtering from Word Embeddings
  ☆11Updated 8 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 10 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 9 years ago
• jacobBaumbach / MCWMD
  Implementation of Monte Carlo Word Movers Distance in Python with TensorFlow
  ☆13Updated 8 years ago
• ipod825 / keraflow
  ☆29Updated 7 years ago