Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Text2vec | 3,610 | 4 | 4 months ago | 35 | September 20, 2023 | 10 | apache-2.0 | Python | ||
text2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型,开箱即用。 | ||||||||||
Nlp Journey | 1,563 | 5 months ago | 3 | April 29, 2020 | apache-2.0 | Python | ||||
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0. | ||||||||||
Magnitude | 1,542 | 2 years ago | 37 | mit | Python | |||||
A fast, efficient universal vector embedding utility package. | ||||||||||
Awesome Embedding Models | 1,329 | 5 years ago | 2 | mit | Jupyter Notebook | |||||
A curated list of awesome embedding models tutorials, projects and communities. | ||||||||||
Conceptnet Numberbatch | 1,114 | 2 years ago | 7 | other | Python | |||||
Nlp In Practice | 861 | 3 years ago | 1 | Jupyter Notebook | ||||||
Starter 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. | ||||||||||
Text2vec | 829 | 15 | 18 | 5 months ago | 10 | November 09, 2023 | 24 | other | R | |
Fast vectorization, topic modeling, distances and GloVe word embeddings in R. | ||||||||||
Word2vec Graph | 650 | 3 years ago | 1 | Python | ||||||
Exploring word2vec embeddings as a graph of nearest neighbors | ||||||||||
Ngram2vec | 638 | 5 years ago | 14 | Python | ||||||
Four word embedding models implemented in Python. Supporting arbitrary context features | ||||||||||
Vectorhub | 543 | 1 | a year ago | 45 | September 28, 2021 | 8 | apache-2.0 | Python | ||
Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc) |