Alternatives and similar repositories for cpyp

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

• mfaruqui / sparse-coding
  Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
  ☆55Updated 7 years ago
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 10 years ago
• rlebret / hpca
  C++ implementation of the Hellinger PCA for computing word embeddings.
  ☆32Updated 8 years ago
• pauldb89 / OxLM
  OxLM: Oxford Neural Language Modelling Toolkit
  ☆38Updated 9 years ago
• ldmt-muri / alignment-with-openfst
  ☆21Updated 8 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 7 years ago
• jiyfeng / dclm
  Document context language models
  ☆22Updated 9 years ago
• oir / deep-recursive
  Implementation of a deep recursive net over binary parse trees (code for NIPS2014 paper)
  ☆28Updated 10 years ago
• katakombi / rnnlm
  Recurrent Neural Network language modeling toolkit
  ☆38Updated 11 years ago
• vchahun / vpyp
  Pitman-Yor processes in python
  ☆26Updated 11 years ago
• neubig / lxmls-2017
  Slides/code for the Lisbon machine learning school 2017
  ☆28Updated 8 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• DeNeutoy / Decomposable_Attn
  ☆23Updated 8 years ago
• kyunghyuncho / skip-thoughts
  ☆23Updated 10 years ago
• shashankg7 / glove-theano
  GloVe Word Embedding model's implementation in theano
  ☆36Updated 8 years ago
• pdasigi / neural-semantic-encoders
  Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
  ☆59Updated 8 years ago
• senarvi / theanolm
  TheanoLM is a recurrent neural network language modeling tool implemented using Theano
  ☆80Updated last year
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆53Updated 8 years ago
• ai-ku / wvec
  Word vectors
  ☆64Updated 7 years ago
• jonsafari / clustercat
  Fast Word Clustering Software
  ☆78Updated 6 months ago
• jwieting / paragram-word
  Python code for training Paragram word embeddings. These achieve human-level performance on some word similiarty tasks including SimLex-9…
  ☆30Updated 9 years ago
• svakulenk0 / tweet2vec_clustering
  ☆26Updated 7 years ago
• craffel / lstm_benchmarks
  Benchmarking different LSTM libraries
  ☆24Updated 9 years ago
• mila-iqia / picklable-itertools
  itertools. But picklable.
  ☆37Updated 10 years ago
• paramveerdhillon / swell
  Spectral Word Embedding Learning for Language (SWELL) toolkit
  ☆27Updated 11 years ago
• nik0spapp / wmil
  Weighted multiple-instance learning algorithm
  ☆18Updated 6 years ago
• jimmycallin / pydsm
  A Python framework for exploring distributional semantic models.
  ☆85Updated 9 years ago
• karlstratos / singular
  ☆18Updated 10 years ago
• yiyang-gt / feat2vec
  Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"
  ☆33Updated 10 years ago