Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Structured Self Attentive Sentence Embedding | 402 | 7 years ago | 7 | gpl-3.0 | Python | |||||
An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' (Lin et al., ICLR 2017). | ||||||||||
Question Generation | 305 | 2 years ago | 1 | gpl-3.0 | Jupyter Notebook | |||||
Generating multiple choice questions from text using Machine Learning. | ||||||||||
Floret | 159 | 2 | 2 years ago | 9 | November 04, 2023 | n,ull | mit | C++ | ||
🌸 fastText + Bloom embeddings for compact, full-coverage vectors with spaCy | ||||||||||
Danlp | 141 | 1 | 5 | 2 years ago | 14 | February 17, 2022 | 9 | bsd-3-clause | Python | |
DaNLP is a repository for Natural Language Processing resources for the Danish Language. | ||||||||||
Ruby Spacy | 39 | 1 | 6 months ago | 12 | October 03, 2023 | 1 | mit | Ruby | ||
A wrapper module for using spaCy natural language processing library from the Ruby programming language via PyCall | ||||||||||
Bert_spacy_rasa | 31 | 4 years ago | Python | |||||||
Tutorial for BERT (and other transformer) embeddings with spaCy and Rasa | ||||||||||
Hands On Nlp With Pytorch | 15 | 5 years ago | Jupyter Notebook | |||||||
Collection of Notebooks for Natural Language Processing with PyTorch | ||||||||||
Python Text Analysis | 13 | a year ago | cc-by-4.0 | Jupyter Notebook | ||||||
D-Lab's 12 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word embeddings, and more, using scikit-learn, NLTK, Gensim, and spaCy in Python. | ||||||||||
Intro_to_dl_tutorial | 11 | 3 years ago | Jupyter Notebook | |||||||
Material for introduction to Deep Learning Tutorials, Summer '20, '21 | ||||||||||
Vectorian | 8 | 4 years ago | JavaScript | |||||||
A search engine for intertextual references based on sequence alignments of word embeddings |