Alternatives and similar repositories for sparse-coding

Users that are interested in sparse-coding are comparing it to the libraries listed below

• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• shashankg7 / glove-theano
  GloVe Word Embedding model's implementation in theano
  ☆36Updated 8 years ago
• jiyfeng / dclm
  Document context language models
  ☆22Updated 9 years ago
• tticoin / AntonymDetection
  Implementation of Word Embedding-based Antonym Detection using Thesauri and Distributional Information in NAACL2015
  ☆35Updated 3 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
• pauldb89 / OxLM
  OxLM: Oxford Neural Language Modelling Toolkit
  ☆38Updated 9 years ago
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 10 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 7 years ago
• ai-ku / wvec
  Word vectors
  ☆64Updated 7 years ago
• mbartoli / deep-simplification
  Text simplification using RNNs
  ☆55Updated 9 years ago
• enewe101 / word2vec
  An implementation of Mikolov's word2vec in Python using Theano and Lasagne.
  ☆37Updated 8 years ago
• yiyang-gt / feat2vec
  Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"
  ☆33Updated 10 years ago
• taolei87 / text_convnet
  Molding CNNs for text (http://arxiv.org/abs/1508.04112)
  ☆85Updated 9 years ago
• mdenil / txtnets
  A convolutional neural network library for NLP.
  ☆59Updated 7 years ago
• piskvorky / word_embeddings
  Code for the blog post "Making Sense of Word2vec"
  ☆113Updated 10 years ago
• swabhs / joint-lstm-parser
  Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.
  ☆61Updated 8 years ago
• jimmycallin / pydsm
  A Python framework for exploring distributional semantic models.
  ☆85Updated 9 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆53Updated 8 years ago
• rlebret / hpca
  C++ implementation of the Hellinger PCA for computing word embeddings.
  ☆32Updated 8 years ago
• sleepinyourhat / vector-entailment
  A suite of representation learning models for sentence embedding, and some tasks to evaluate them on.
  ☆83Updated 6 years ago
• SwordYork / DCNMT
  Deep Character-Level Neural Machine Translation
  ☆71Updated 8 years ago
• senarvi / theanolm
  TheanoLM is a recurrent neural network language modeling tool implemented using Theano
  ☆80Updated last year
• karlstratos / singular
  ☆18Updated 10 years ago
• oir / deep-recursive
  Implementation of a deep recursive net over binary parse trees (code for NIPS2014 paper)
  ☆28Updated 10 years ago
• ketranm / RMN
  Recurrent Memory Network - Torch implementation
  ☆35Updated 8 years ago
• XingxingZhang / td-treelstm
  Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf
  ☆83Updated 8 years ago
• Avmb / clweadv
  Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
  ☆22Updated 9 years ago
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆124Updated 9 years ago
• uclnlp / acl2015tutorial
  Moro files for the ACL 2015 Tutorial on Matrix and Tensor Factorization Methods for Natural Language Processing
  ☆20Updated 10 years ago
• Smerity / tf-ham
  A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
  ☆51Updated 9 years ago