Dadengandhispython
【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384 Python网络爬虫快速入门https://www.bilibili.com/video/av720 我的联系邮箱[email protected]
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| 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. | ||||||||||
| Text_mining_resources | 511 | a year ago | ||||||||
| Resources for learning about Text Mining and Natural Language Processing | ||||||||||
| Rmdl | 409 | 1 | a year ago | 7 | July 01, 2020 | 2 | gpl-3.0 | Python | ||
| RMDL: Random Multimodel Deep Learning for Classification | ||||||||||
| Artificial Adversary | 317 |  | 1 | 6 years ago | 3 | August 29, 2018 | 7 | mit | Python | |
| 🗣️ Tool to generate adversarial text examples and test machine learning models against them | ||||||||||
| Pyss3 | 307 | 8 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:) | ||||||||||
| Nlp Labelling | 257 | 2 years ago | n,ull | gpl-3.0 | JavaScript | |||||
| Labelling platform for text using weak supervision. | ||||||||||
| Hdltex | 252 | 5 months ago | 5 | April 20, 2018 | 7 | mit | Python | |||
| HDLTex: Hierarchical Deep Learning for Text Classification | ||||||||||
| Fake_news_detection | 251 | 2 years ago | 10 | mit | Jupyter Notebook | |||||
| Fake News Detection in Python | ||||||||||
| Cnn Text Classification Keras | 204 | 6 years ago | 1 | Python | ||||||
| Text Classification by Convolutional Neural Network in Keras | ||||||||||
| Shallowlearn | 196 | 7 years ago | 5 | December 30, 2016 | 17 | lgpl-3.0 | Python | |||
| An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn. | ||||||||||
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Python
Jupyter Notebook
Text Classification
Text Mining
Text Analysis