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excel2json
说明： Excel 转为 json格式， python3 代码(Excel converted to json format, code written in python3)
- 2019-05-19 05:22:44下载
- 积分：1
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爬取热门微博评论并进行数据分析、nlp情感分析
爬取热门微博评论并进行数据分析、nlp情感分析
xuenlp.py功能包含：
读取数据库并进行数据去重
对微博评论进行情感分析并生成统计结果
统计微博评论中的表情排行
统计微博评论中的粉丝排行前20(Crawl popular microblog comments and do data analysis and NLP sentiment analysis
Xuenlp.py functions include:
Read the database and de-duplicate the data
Emotional analysis of microblog comments and generating statistical results
Statistical expression ranking in microblog comments
Statistics of the top 20 fans in microblog comments)
- 2020-06-23 05:20:02下载
- 积分：1
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基于RNN的情感分类器.py
基于RNN，实现语句情感分类，代码附带注释可直接运行
- 2021-05-06下载
- 积分：1
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共现矩阵
说明： 将高维数据组转换为二维数据组，方便数据处理工作人员的数据分析，并包含自然语言处理(The multi-dimensional co-occurrence matrix is transformed into two-dimensional array form, and the high-dimensional data group is transformed into two-dimensional data group, which is convenient for data processing staff to analyze data, and includes natural language processing)
- 2020-07-02 16:56:12下载
- 积分：1
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任意多边形
说明： python 调用 cad 随机骨料模型(Python calls CAD random aggregate model)
- 2020-07-10 15:28:59下载
- 积分：1
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lstm(二维新)
lstm多输入时间序列预测，具有长效记忆性的神经网络算法。(LSTM multi-input time series prediction,Neural network algorithm with long-term memory.)
- 2019-05-05 10:51:21下载
- 积分：1
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LSB
通过python实现对bmp图片的lsb隐藏(LSB hiding BMP pictures by Python)
- 2021-04-26 20:28:45下载
- 积分：1
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inpaint-object-remover-python
实现基于样本块的图像修复，是Criminisi经典图像修复算法。(Criminisi algorithm about exemplar-based inpainting)
- 2020-11-06 14:49:50下载
- 积分：1
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Python深度学习
说明： 本书由Keras之父、现任Google人工智能研究员的弗朗索瓦·肖菜（Francois Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，涉及计算机视觉、自然语言处理、生成式模型等应用。
书中包含30多个代码示例，步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化，读者无须具备机器学习相关背景知识即可展开阅读。在学习完本书后，读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。
本拐适合从事大数据及机器学习领域工作，并对深度学习感兴趣的各类读者。(This book is written by Francois Chollet, the father of keras and currently a researcher of Google artificial intelligence. It introduces in detail the exploration and practice of deep learning with Python and keras, involving computer vision, natural language processing, generative model and other applications.
The book contains more than 30 code examples, the steps to explain in detail.
Because this book is based on the accessibility and popularity of artificial intelligence, readers can read without the background knowledge of machine learning. After learning this book, readers will have the ability to build their own deep learning environment, establish image recognition model, and generate images and characters.
It is suitable for all kinds of readers who are engaged in big data and machine learning and are interested in deep learning.)
- 2020-11-25 22:29:10下载
- 积分：1
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python pair trading.docx
算法交易，统计套利，配对交易python代码实现(Algorithm trading, statistical arbitrage, pair trading, Python implementation)
- 2018-08-22 13:08:47下载
- 积分：1
