GensimTopic Modelling for Humans
Stars: ✭ 12,763 (+36365.71%)
Mutual labels: information-retrieval, word2vec, word-embeddings
two-stream-cnnA two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data
Stars: ✭ 24 (-31.43%)
Mutual labels: word2vec, word-embeddings
word embeddingSample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..
Stars: ✭ 21 (-40%)
Mutual labels: word2vec, word-embeddings
word2vec-on-wikipediaA pipeline for training word embeddings using word2vec on wikipedia corpus.
Stars: ✭ 68 (+94.29%)
Mutual labels: word2vec, word-embeddings
VectorsinsearchDice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
Stars: ✭ 71 (+102.86%)
Mutual labels: information-retrieval, word2vec
Vec4irWord Embeddings for Information Retrieval
Stars: ✭ 188 (+437.14%)
Mutual labels: information-retrieval, word-embeddings
NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
Stars: ✭ 19 (-45.71%)
Mutual labels: word2vec, word-embeddings
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (+477.14%)
Mutual labels: word2vec, word-embeddings
word2vec-tsneGoogle News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
Stars: ✭ 59 (+68.57%)
Mutual labels: word2vec, word-embeddings
lda2vecMixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
Stars: ✭ 27 (-22.86%)
Mutual labels: word2vec, word-embeddings
Nlp Projectsword2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
Stars: ✭ 360 (+928.57%)
Mutual labels: information-retrieval, word2vec
sentiment-analysis-of-tweets-in-russianSentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.
Stars: ✭ 51 (+45.71%)
Mutual labels: word2vec, word-embeddings
Simple-Sentence-SimilarityExploring the simple sentence similarity measurements using word embeddings
Stars: ✭ 99 (+182.86%)
Mutual labels: word2vec, word-embeddings
KoanA word2vec negative sampling implementation with correct CBOW update.
Stars: ✭ 232 (+562.86%)
Mutual labels: word2vec, word-embeddings
BERT-QECode and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".
Stars: ✭ 43 (+22.86%)
Mutual labels: information-retrieval, query-expansion
GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Stars: ✭ 189 (+440%)
Mutual labels: word2vec, word-embeddings
ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Stars: ✭ 196 (+460%)
Mutual labels: word2vec, word-embeddings
word-benchmarksBenchmarks for intrinsic word embeddings evaluation.
Stars: ✭ 45 (+28.57%)
Mutual labels: word2vec, word-embeddings
wikidata-corpusTrain Wikidata with word2vec for word embedding tasks
Stars: ✭ 109 (+211.43%)
Mutual labels: word2vec, word-embeddings
