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
• instagibbs / FactorizationMachine
  ☆36Updated 9 years ago
• RobeDM / LIBIRWLS
  A parallel IRWLS library to solve SVMs and budgeted SVMs
  ☆59Updated 7 years ago
• allentran / graph2vec
  Theano implementation of GloVe for graphs
  ☆46Updated 9 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 9 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆40Updated 9 years ago
• magsilva / dtm-old
  Dynamic Topic Model (based upon code released by David Blei at http://www.cs.princeton.edu/~blei/topicmodeling.html)
  ☆31Updated 7 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• graphific / DL-Meetup-intro
  Code for participants of "NLP and Deep Learning: introduction - Session I" at Sthlm NLP Meetup of 22 Jan 2015
  ☆37Updated 9 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• benjaminwilson / word2vec-norm-experiments
  ☆16Updated 9 years ago
• n17s / fest
  Fast Ensembles of Sparse Trees
  ☆38Updated 8 years ago
• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 9 years ago
• soumith / nextml
  ☆35Updated 10 years ago
• lateral / hyperplane-hasher
  Implementation of an algorithm computing the nearest "N" neighbours to a vector, using a collection of hyperplane hashers.
  ☆30Updated 9 years ago
• Philip-Bachman / NN-Python
  The useful and used parts of NN-Dropout
  ☆25Updated 9 years ago
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 9 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• skrypka / crowdflower-search
  Kaggle competition
  ☆23Updated 9 years ago
• kyunghyuncho / WordVectorManifold
  ☆15Updated 8 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 7 years ago
• piskvorky / sim-shootout
  Code for "Performance shootout between nearest-neighbour libraries": http://radimrehurek.com/2013/11/performance-shootout-of-nearest-neig…
  ☆99Updated 9 years ago
• fabianp / pysofia
  old repository, maintained version is at https://github.com/rth/pysofia
  ☆27Updated 8 years ago
• stitchfix / context2vec
  Using Word2Vec on lists and sets
  ☆34Updated 9 years ago
• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 7 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago