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。 | ||||||||||
Keybert | 3,047 | 18 | 3 months ago | 16 | October 05, 2023 | 41 | mit | Python | ||
Minimal keyword extraction with BERT | ||||||||||
Resemblyzer | 2,415 | 1 | 6 months ago | 5 | October 12, 2023 | 34 | apache-2.0 | Python | ||
A python package to analyze and compare voices with deep learning | ||||||||||
Senteval | 1,627 | 3 years ago | 30 | other | Python | |||||
A python tool for evaluating the quality of sentence embeddings. | ||||||||||
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. | ||||||||||
Deep Siamese Text Similarity | 1,216 | 4 years ago | 29 | mit | Python | |||||
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings | ||||||||||
Nlp Notebooks | 710 | 2 years ago | 6 | Jupyter Notebook | ||||||
A collection of notebooks for Natural Language Processing from NLP Town | ||||||||||
Polyfuzz | 671 | 2 | 6 months ago | 12 | September 03, 2023 | 22 | mit | Python | ||
Fuzzy string matching, grouping, and evaluation. | ||||||||||
Word Embeddings Benchmarks | 368 | 3 years ago | 22 | mit | Python | |||||
Package for evaluating word embeddings | ||||||||||
Elastiknn | 347 | 2 | 3 months ago | 29 | September 27, 2021 | 13 | apache-2.0 | Scala | ||
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms. |