├── README.md ├── 深度学习实战1-(keras框架)企业数据分析与预测 ├── GM11.csv ├── data.csv ├── enterprise_data_analysis.py ├── net.h5 └── result.csv ├── 深度学习实战10-数学公式识别-将图片转换为Latex(img2Latex) ├── 123.png ├── LICENSE ├── README.md ├── __pycache__ │ ├── eval.cpython-38.pyc │ ├── models.cpython-37.pyc │ ├── models.cpython-38.pyc │ ├── pix2tex.cpython-37.pyc │ └── pix2tex.cpython-38.pyc ├── dataset │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ ├── __init__.cpython-38.pyc │ │ ├── arxiv.cpython-37.pyc │ │ ├── arxiv.cpython-38.pyc │ │ ├── dataset.cpython-37.pyc │ │ ├── dataset.cpython-38.pyc │ │ ├── demacro.cpython-37.pyc │ │ ├── demacro.cpython-38.pyc │ │ ├── extract_latex.cpython-37.pyc │ │ ├── extract_latex.cpython-38.pyc │ │ ├── latex2png.cpython-37.pyc │ │ ├── latex2png.cpython-38.pyc │ │ ├── render.cpython-37.pyc │ │ ├── render.cpython-38.pyc │ │ ├── scraping.cpython-37.pyc │ │ └── scraping.cpython-38.pyc │ ├── arxiv.py │ ├── dataset.py │ ├── demacro.py │ ├── extract_latex.py │ ├── latex2png.py │ ├── postprocess.py │ ├── preprocessing │ │ ├── generate_latex_vocab.py │ │ ├── preprocess_formulas.py │ │ ├── preprocess_latex.js │ │ └── third_party │ │ │ ├── README.md │ │ │ ├── katex │ │ │ ├── LICENSE.txt │ │ │ ├── README.md │ │ │ ├── cli.js │ │ │ ├── katex.js │ │ │ ├── package.json │ │ │ └── src │ │ │ │ ├── Lexer.js │ │ │ │ ├── Options.js │ │ │ │ ├── ParseError.js │ │ │ │ ├── Parser.js │ │ │ │ ├── Settings.js │ │ │ │ ├── Style.js │ │ │ │ ├── buildCommon.js │ │ │ │ ├── buildHTML.js │ │ │ │ ├── buildMathML.js │ │ │ │ ├── buildTree.js │ │ │ │ ├── delimiter.js │ │ │ │ ├── domTree.js │ │ │ │ ├── environments.js │ │ │ │ ├── fontMetrics.js │ │ │ │ ├── fontMetricsData.js │ │ │ │ ├── functions.js │ │ │ │ ├── mathMLTree.js │ │ │ │ ├── parseData.js │ │ │ │ ├── parseTree.js │ │ │ │ ├── symbols.js │ │ │ │ └── utils.js │ │ │ └── match-at │ │ │ ├── README.md │ │ │ └── package.json │ ├── render.py │ ├── scraping.py │ └── tokenizer.json ├── eval.py ├── gui.py ├── models.py ├── newlatex │ ├── gongshi6.png │ └── img2latex.py ├── pix2tex.py ├── requirements.txt ├── resources │ ├── MathJax.js │ ├── __pycache__ │ │ ├── resources.cpython-37.pyc │ │ └── resources.cpython-38.pyc │ ├── icon.svg │ ├── processing-icon-anim.svg │ ├── resources.py │ └── resources.qrc ├── settings │ ├── config.yaml │ └── debug.yaml ├── setup_desktop.py ├── train.py ├── train_resizer.py └── utils │ ├── __init__.py │ ├── __pycache__ │ ├── __init__.cpython-37.pyc │ ├── __init__.cpython-38.pyc │ ├── utils.cpython-37.pyc │ └── utils.cpython-38.pyc │ └── utils.py ├── 深度学习实战11(进阶版)-BERT模型的微调应用-文本分类案例 ├── bert_model.py └── data │ └── train.csv ├── 深度学习实战12(进阶版)-利用Dewarp实现文本扭曲矫正 ├── 123.png └── dewarp.py ├── 深度学习实战13(进阶版)-文本纠错功能，经常写错别字的小伙伴的福星 ├── correct1.py ├── correct2.py ├── correct3.py ├── correct4.py ├── correct_new.py └── kHanyuPinlu.txt ├── 深度学习实战14(进阶版)-手写文字OCR识别，手写笔记也可以识别了 ├── 123456.png ├── ocr_result │ └── ndarray_1671255339.407687.jpg ├── writeOCR.py └── writeOCR_new.py ├── 深度学习实战15(进阶版)-让机器进行阅读理解+你可以变成出题者提问 ├── __pycache__ │ └── utils.cpython-38.pyc ├── reading.py └── utils.py ├── 深度学习实战2-(keras框架)企业信用评级与预测 ├── enterprise_credit.py └── train_new.csv ├── 深度学习实战3-文本卷积神经网络（TextCNN）新闻文本分类 ├── Text_classif.py ├── __pycache__ │ └── config.cpython-38.pyc ├── config.py └── vocab.txt ├── 深度学习实战4-卷积神经网络（DenseNet）数学图形识别+题目模式识别 └── math_classif.py ├── 深度学习实战5-卷积神经网络（CNN）中文OCR识别项目 ├── DroidSansFallback.ttf ├── chinese.txt └── ocr.py ├── 深度学习实战6-卷积神经网络(Pytorch)+聚类分析实现空气质量与天气预测 ├── 1234.csv ├── net.pkl ├── weather - 副本.csv ├── weather.csv ├── weather.py ├── weather_new.csv └── weathers.csv ├── 深度学习实战7-电商产品评论的情感分析 ├── Sentiment.py ├── __pycache__ │ └── data_loader.cpython-38.pyc ├── data_loader.py └── online_shopping_10_cats.csv ├── 深度学习实战8-生活照片转化漫画照片应用 ├── img2cartoon.py ├── input.png ├── new_image.png ├── result0.png ├── result2.png └── result21.png └── 深度学习实战9-文本生成图像-本地电脑实现text2img ├── stable_diffusion_tf ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-38.pyc 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