Alternatives and similar repositories for python-adagram

Users that are interested in python-adagram are comparing it to the libraries listed below

• fh295 / SentenceRepresentation
  ☆125Updated 8 years ago
• uhh-lt / sensegram
  Making sense embedding out of word embeddings using graph-based word sense induction
  ☆213Updated 4 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• vered1986 / LexNET
  LexNET: Integrated Path-based and Distributional Method for Lexical Semantic Relation Classification
  ☆62Updated 6 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
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆124Updated 8 years ago
• napsternxg / DeepSequenceClassification
  Deep neural network based model for sequence to sequence classification
  ☆76Updated 7 years ago
• kostyaev / sentence2vec
  Deep sentence embedding using Sequence to Sequence learning
  ☆21Updated 8 years ago
• ai-ku / wvec
  Word vectors
  ☆64Updated 7 years ago
• soroushv / Tweet2Vec
  Code for the implementation of Tweet2Vec
  ☆61Updated 7 years ago
• offbit / char-models
  Character level models for sentiment analysis
  ☆91Updated 8 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆53Updated 8 years ago
• Ardavans / sHDP
  Nonparametric Topic Modeling with Word Vectors
  ☆73Updated 8 years ago
• ikekonglp / TweeboParser
  A Dependency Parser for Tweets
  ☆78Updated 5 years ago
• tambetm / allenAI
  ☆88Updated 9 years ago
• jarfo / kchar
  Character-Aware Neural Language Models. A keras-based implementation
  ☆118Updated 3 years ago
• ehsansherkat / ConVec
  In this project, we use skip-gram model to embed Wikipedia Concepts and Entities. The English version of Wikipedia contains more than fiv…
  ☆57Updated 7 years ago
• gouwsmeister / bilbowa
  Open-source implementation of the BilBOWA (Bilingual Bag-of-Words without Alignments) word embedding model.
  ☆69Updated 3 years ago
• bkj / ulm-basenet
  Implementation of ULMFit algorithm for text classification via transfer learning
  ☆94Updated 6 years ago
• Cardal / Kaggle_AllenAIscience
  My solution for the Kaggle "Allen AI science challenge"
  ☆48Updated 9 years ago
• benathi / multisense-prob-fasttext
  ACL 2018 paper: Probabilistic FastText for Multi-Sense Word Embeddings (Athiwaratkun et al., 2018)
  ☆148Updated 6 years ago
• mead-ml / mead-baseline
  Deep-Learning Model Exploration and Development for NLP
  ☆243Updated last year
• BarakOshri / TextualReconstructor
  Training autoencoders to reconstruct text to generate valuable summarizations of sentences or paragraphs
  ☆39Updated 9 years ago
• deeppavlov / ConvAI-baseline
  ConvAI baseline solution
  ☆50Updated 7 years ago
• minimalparts / nonce2vec
  Incremental learning of word embeddings with context informativeness.
  ☆94Updated last year
• rajarshd / Gaussian_LDA
  ☆142Updated 5 years ago
• NLPrinceton / text_embedding
  utility class for building/evaluating document representations
  ☆53Updated 5 years ago
• synthesio / hierarchical-attention-networks
  Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf
  ☆57Updated 7 years ago
• ReactiveCJ / SentenceEmbedding
  Code for Context is Everything: Finding Meaning Statistically in Semantic Spaces.
  ☆16Updated 7 years ago
• castorini / MP-CNN-Torch
  Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)
  ☆106Updated 7 years ago