Alternatives and similar repositories for SMH-Topic-Discovery

Users that are interested in SMH-Topic-Discovery are comparing it to the libraries listed below

• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆53Updated 9 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 8 years ago
• svakulenk0 / tweet2vec_clustering
  ☆26Updated 8 years ago
• neubig / lxmls-2017
  Slides/code for the Lisbon machine learning school 2017
  ☆28Updated 8 years ago
• NLPrinceton / text_embedding
  utility class for building/evaluating document representations
  ☆53Updated 5 years 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
• jiyfeng / dclm
  Document context language models
  ☆22Updated 10 years ago
• kedz / sumpy
  SUMPY: a python automatic text summarization library
  ☆55Updated 9 years ago
• pdasigi / onto-lstm
  Keras implementation of ontology aware token embeddings
  ☆49Updated 7 years ago
• nyu-dl / gated_word_char_rlm
  ☆25Updated 9 years ago
• mbartoli / deep-simplification
  Text simplification using RNNs
  ☆55Updated 9 years ago
• sindbach / doc2vec_pymongo
  Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)
  ☆37Updated 3 years ago
• cod3licious / conec
  Context Encoders (ConEc) as a simple but powerful extension of the word2vec model for learning word embeddings
  ☆20Updated 5 years ago
• jacobBaumbach / MCWMD
  Implementation of Monte Carlo Word Movers Distance in Python with TensorFlow
  ☆12Updated 9 years ago
• afrozas / skip-thought-gan
  Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors
  ☆45Updated 4 years ago
• AYLIEN / adversarial-document-model
  Code needed to reproduce "Modeling documents with Generative Adversarial Networks"
  ☆37Updated 8 years ago
• Avmb / deep-nmt-architectures
  Training scripts for paper Miceli Barone et al. 2017 "Deep Architectures for Neural Machine Translation"
  ☆11Updated 8 years ago
• shashankg7 / glove-theano
  GloVe Word Embedding model's implementation in theano
  ☆36Updated 8 years ago
• shashankg7 / Seq2Seq
  Library to train parallel-aligned sequence data based on Keras
  ☆51Updated 8 years ago
• ajaech / calm
  Context Aware Language Models
  ☆28Updated 7 years ago
• mfaruqui / sparse-coding
  Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
  ☆56Updated 8 years ago
• bwallace / rationale-CNN
  A keras implementation of our CNNs with rationales
  ☆48Updated 7 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆80Updated 8 years ago
• tticoin / AntonymDetection
  Implementation of Word Embedding-based Antonym Detection using Thesauri and Distributional Information in NAACL2015
  ☆35Updated 3 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 8 years ago
• anoperson / DeepIE
  An Information Extraction Framework with Deep Learning developed at New York University
  ☆15Updated 9 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• neubig / yrsnlp-2016
  Structured Neural Networks for NLP: From Idea to Code
  ☆59Updated 8 years ago
• orenmel / word2parvec
  A toolkit for generating paraphrase vector representations for words in context
  ☆23Updated 10 years ago
• cltl / wsd-dynamic-sense-vector
  ☆25Updated 2 years ago