Alternatives and similar repositories for substring-frequencies

Users that are interested in substring-frequencies are comparing it to the libraries listed below

• mortehu / text-classifier
  Creates models to classify documents into categories
  ☆66Updated 7 years ago
• mikeskim / dboost
  Stochastic Dummy Boosting
  ☆25Updated 9 years ago
• zygmuntz / phraug2
  A new version of phraug, which is a set of simple Python scripts for pre-processing large files
  ☆207Updated 7 years ago
• diefimov / west_nile_virus_2015
  the 2nd place solution for West Nile Virus Prediction challenge on Kaggle
  ☆36Updated 10 years ago
• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 7 years ago
• cemoody / Document2Vec
  Finding document vectors from pre-trained word2vec word vectors
  ☆116Updated 10 years ago
• hal3 / vwnlp
  Solving NLP problems with Vowpal Wabbit: Tutorial and more
  ☆183Updated 9 years ago
• diefimov / otto_2015
  ☆30Updated 9 years ago
• skrypka / crowdflower-search
  Kaggle competition
  ☆23Updated 10 years ago
• geffy / kaggle-crowdflower
  Kaggle 'Search Results Relevance' 2nd place solution
  ☆79Updated 10 years ago
• facebookarchive / ml_sampler
  Model assisted random sampling.
  ☆119Updated 5 years ago
• soumith / nextml
  ☆35Updated 10 years ago
• RobeDM / LIBIRWLS
  A parallel IRWLS library to solve SVMs and budgeted SVMs
  ☆59Updated 8 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• glycerine / sofia-ml
  Automatically exported from code.google.com/p/sofia-ml
  ☆61Updated 4 years ago
• unnati-xyz / intro-to-deep-learning-for-nlp
  The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.
  ☆109Updated 9 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 6 years ago
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆48Updated 8 years ago
• piskvorky / word_embeddings
  Code for the blog post "Making Sense of Word2vec"
  ☆113Updated 10 years ago
• TimSalimans / HiggsML
  My second place solution to the Higgs Boson Machine Learning Challenge
  ☆84Updated 10 years ago
• fbkarsdorp / doc2vec
  Tutorial and review of word2vec / doc2vec
  ☆104Updated 10 years ago
• mkliegl / kaggle-Facebook-V
  Second place solution for Facebook V competition on Kaggle
  ☆77Updated 9 years ago
• FurongHuang / spectrallda-tensorspark
  Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.
  ☆105Updated 7 years ago
• jimmycallin / pydsm
  A Python framework for exploring distributional semantic models.
  ☆85Updated 9 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• msegala / Kaggle-National_Data_Science_Bowl
  ☆15Updated 9 years ago
• mlandry22 / kaggle
  Public Kaggle Code and Info
  ☆43Updated 9 years ago
• n17s / fest
  Fast Ensembles of Sparse Trees
  ☆38Updated 9 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 9 years ago