153 skills found · Page 1 of 6
BrikerMan / KashgariKashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
MemeMeow-Studio / MemeMeow智能检索张维为表情包
kavgan / Nlp In PracticeStarter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
alexandres / LexvecThis is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks
anvaka / Word2vec GraphExploring word2vec embeddings as a graph of nearest neighbors
zlsdu / Word EmbeddingWord2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding
gaoisbest / 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
yongzhuo / MacadamMacadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。
bmschmidt / WordVectorsAn R package for creating and exploring word2vec and other word embedding models
PrashantRanjan09 / WordEmbeddings Elmo Fasttext Word2VecUsing pre trained word embeddings (Fasttext, Word2Vec)
guenthermi / Postgres Word2vecutils to use word embedding models like word2vec vectors in a PostgreSQL database
chatopera / Wikidata CorpusTrain Wikidata with word2vec for word embedding tasks
NIHOPA / Word2vec PipelineNLP pipeline using word2vec (preprocessing/embedding/prediction/clustering)
26medias / Context Aware Markov ChainsMarkov Chain combined with word vector embedding (word2vec) and part-of-speech tagging, for context-aware text generation. License: MIT
iamalbert / Pytorch WordembLoad pretrained word embeddings (word2vec, glove format) into torch.FloatTensor for PyTorch
JuliaText / Embeddings.jlFunctions and data dependencies for loading various word embeddings (Word2Vec, FastText, GLoVE)
lukysummer / Movie Review Sentiment Analysis LSTM PytorchClassifying movie reviews as positive or negative using Word2Vec Embeddings & LSTM network
lmthang / BivecTrain bilingual embeddings as described in our NAACL 2015 workshop paper "Bilingual Word Representations with Monolingual Quality in Mind". Besides, it has all the functionalities of word2vec with added features and code clarity. See README for more info.
sismetanin / Word2vec TsneGoogle News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
hmohebbi / SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
