Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Gensim | 15,180 | 2,371 | 766 | a month ago | 93 | August 24, 2023 | 405 | lgpl-2.1 | Python | |
Topic Modelling for Humans | ||||||||||
Ai Learn | 8,256 | 4 months ago | 20 | |||||||
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域 | ||||||||||
Textract | 3,699 | 96 | 33 | 4 months ago | 18 | March 10, 2022 | 126 | mit | HTML | |
extract text from any document. no muss. no fuss. | ||||||||||
Research | 1,550 | a year ago | 128 | apache-2.0 | Python | |||||
novel deep learning research works with PaddlePaddle | ||||||||||
Vvedenie Mashinnoe Obuchenie | 1,187 | 5 years ago | 6 | |||||||
:memo: Подборка ресурсов по машинному обучению | ||||||||||
Awesome Fl | 1,103 | 4 months ago | cc-by-sa-4.0 | Python | ||||||
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops) | ||||||||||
Text_mining_resources | 511 | a year ago | ||||||||
Resources for learning about Text Mining and Natural Language Processing | ||||||||||
Cogcomp Nlp | 448 | 2 years ago | 196 | other | Java | |||||
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more. | ||||||||||
Book Socialmediaminingpython | 415 | 5 years ago | 4 | Python | ||||||
Companion code for the book "Mastering Social Media Mining with Python" | ||||||||||
Pyss3 | 307 | 9 months ago | 29 | January 30, 2021 | 5 | mit | Python | |||
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:) |