Alternatives and similar repositories for DeepLearningTopicModels:

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

• PrincetonML / SemanticVector
  Word embedding approach based on a dynamic log-linear model
  ☆54Updated 7 years ago
• benathi / multisense-prob-fasttext
  ACL 2018 paper: Probabilistic FastText for Multi-Sense Word Embeddings (Athiwaratkun et al., 2018)
  ☆148Updated 6 years ago
• artetxem / uncovec
  Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation
  ☆63Updated 6 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 years ago
• IBM / WordMoversEmbeddings
  WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…
  ☆81Updated 6 years ago
• NLPrinceton / text_embedding
  utility class for building/evaluating document representations
  ☆53Updated 5 years ago
• idiap / mhan
  Multilingual hierarchical attention networks toolkit
  ☆77Updated 5 years ago
• stephenroller / word2vecfz
  Dependency-based Word Embeddings (Levy and Goldberg, 2014) with BZ2 compression support.
  ☆21Updated 9 years ago
• jhlau / topic-coherence-sensitivity
  Code to compute topic coherence for several topic cardinalities and aggregate scores across them
  ☆22Updated 3 weeks ago
• ccsasuke / umwe
  Unsupervised Multilingual Word Embeddings (EMNLP 2018)
  ☆81Updated 3 years ago
• ajaech / calm
  Context Aware Language Models
  ☆28Updated 6 years ago
• fdalvi / NeuroX-demo
  ☆66Updated 2 years ago
• xiaohan2012 / chowmein
  Automatic labeling for topic model
  ☆57Updated 9 years ago
• minimalparts / nonce2vec
  Incremental learning of word embeddings with context informativeness.
  ☆94Updated last year
• argilla-io / get_started_with_deep_learning_for_text_with_allennlp
  Getting started with AllenNLP and PyTorch by training a tweet classifier
  ☆66Updated 7 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆79Updated 8 years ago
• hugochan / KATE
  Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
  ☆144Updated last year
• chaitanyamalaviya / NeuralFactorGraph
  This repo contains the code for the paper Neural Factor Graph Models for Cross-lingual Morphological Tagging.
  ☆52Updated 6 years ago
• nlitutorial / nlitutorial.github.io
  2019 NAACL NLI with Deep Learning tutorial site.
  ☆31Updated 5 years ago
• cedricdeboom / RepresentationLearning
  Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.
  ☆36Updated 8 years ago
• mjc92 / GetToThePoint
  Pytorch implementation of "Get to the point: Get To The Point: Summarization with Pointer-Generator Networks"
  ☆76Updated 7 years ago
• coastalcph / mtl-disparate
  Code for NAACL 2018 paper "Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces" by Isabelle Augenst…
  ☆34Updated 6 years ago
• bheinzerling / dougu
  Assorted tools and utility functions, mainly for doing NLP with Python
  ☆23Updated 2 months ago
• Mjkim88 / pytorch-torchtext-seq2seq
  Pytorch and Torchtext implementation of Sequence to sequence
  ☆59Updated 7 years ago
• abrazinskas / BSG
  Bayesian Skip-gram model
  ☆47Updated 4 years ago
• EdGENetworks / anuvada
  Interpretable Models for NLP using PyTorch
  ☆104Updated 7 years ago
• Noahs-ARK / soft_patterns
  Text classification code described in "SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines" by Roy Schwartz, Sam Thomson and No…
  ☆54Updated 2 years ago
• fh295 / SentenceRepresentation
  ☆125Updated 8 years ago
• soroushv / Tweet2Vec
  Code for the implementation of Tweet2Vec
  ☆61Updated 7 years ago
• bkj / ulm-basenet
  Implementation of ULMFit algorithm for text classification via transfer learning
  ☆94Updated 6 years ago