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https://github.com/zkywsg/daily-deeplearning

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
https://github.com/zkywsg/daily-deeplearning
deep-learning leetcode leetcode-python leetcode-solutions machine-learning nlp python pytorch pytorch-nlp pytorch-tutorial pytorch-tutorials tensorflow tensorflow-examples tensorflow-tutorials
Last synced: 1 day ago
JSON representation
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
Host: GitHub
URL: https://github.com/zkywsg/daily-deeplearning
Owner: zkywsg
License: mit
Created: 2019-07-05T11:32:03.000Z (about 5 years ago)
Default Branch: master
Last Pushed: 2024-04-08T15:57:34.000Z (6 months ago)
Last Synced: 2024-09-22T08:02:01.487Z (4 days ago)
Topics: deep-learning, leetcode, leetcode-python, leetcode-solutions, machine-learning, nlp, python, pytorch, pytorch-nlp, pytorch-tutorial, pytorch-tutorials, tensorflow, tensorflow-examples, tensorflow-tutorials
Language: Jupyter Notebook
Homepage:
Size: 49.1 MB
Stars: 610
Watchers: 19
Forks: 136
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project

README

        # **Daily-DearnLearning**

- 工作联系: [email protected] 

💻计算机基础课

- [**数据结构**](07-BaseClass/Ds)

| [**01基本概念和算法评价**](07-BaseClass/Ds/01基本概念和算法评价.md) | [**02线性表**](07-BaseClass/Ds/02线性表.md) | [**03栈和队列**](07-BaseClass/Ds/03栈和队列.md) | [**04树和二叉树**](07-BaseClass/Ds/04树和二叉树.md) |

| ------------------------------------------------------------ | ------------------------------------------- | ----------------------------------------------- | --------------------------------------------------- |

| [**05图**](07-BaseClass/Ds/05图.md)                          | [**06查找**](07-BaseClass/Ds/06查找.md)     | [**07排序**](07-BaseClass/Ds/07排序.md)         |                                                     |

- [**操作系统**](07-BaseClass/Os)

| [**01操作系统的基本概念**](07-BaseClass/Os/01操作系统的基本概念.md) | [**02操作系统的发展和分类**](07-BaseClass/Os/02操作系统的发展和分类.md) | [**03操作系统的运行环境**](07-BaseClass/Os/03操作系统的运行环境.md) | [**04进程和线程**](07-BaseClass/Os/04进程与线程.md)     |

| ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------- |

| [**05处理机调度**](07-BaseClass/Os/05处理机调度.md)          | [**06进程同步**](07-BaseClass/Os/06进程同步.md)              | [**07死锁**](07-BaseClass/Os/07死锁.md)                      | [**08内容管理概念**](07-BaseClass/Os/08内容管理概念.md) |

| [**09虚拟内存管理**](07-BaseClass/Os/09虚拟内存管理.md)      | [**10文件系统基础**](07-BaseClass/Os/05处理机调度.md)        |                                                              |                                                         |

- [**计算机网络**](07-BaseClass/Cn)

| [**01计算机网络概述**](07-BaseClass/Cn/01计算机网络概述.md) | [**02计算机网络结构体系**](07-BaseClass/Cn/02计算机网络结构体系.md) | [**03通信基础**](07-BaseClass/Cn/03通信基础.md)              | [**04奈氏准则和香农定理**](07-BaseClass/Cn/04奈氏准则和香农定理.md) |

| ----------------------------------------------------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |

| [**05传输介质**](07-BaseClass/Cn/05传输介质.md)             | [**06物理层设备**](07-BaseClass/Cn/06物理层设备.md)          | [**07数据链路层的功能**](07-BaseClass/Cn/07数据链路层的功能.md) |                                                              |

🐍Python

##### 快速入门

| [**Day01**](01-Python/Day01.md):变量/字符串/数字和运算符     | [**Day02**](01-Python/Day02.md):列表/元组                    | [**Day03**](01-Python/Day03.md):字典/set                     | [**Day04**](01-Python/Day04.md):if/循环                      |

| :----------------------------------------------------------- | :----------------------------------------------------------- | ------------------------------------------------------------ | ------------------------------------------------------------ |

| [**Day05**](01-Python/Day05.md):**调用函数/定义函数/函数的参数** | [**Day06**](01-Python/Day06.md):**迭代/列表生成式/生成器/迭代器** | [**Day07**](01-Python/Day07.md):**高阶函数/返回函数/匿名函数/装饰器** | [**Day08**](01-Python/Day08.md):**类和实例/限制访问/继承和多态** |

| [**Day09**](01-Python/Day09.md):**__slots/@property/多重继承/定制类/枚举类** | [**Day10**](01-Python/Day10.md):**错误处理/调试/文档测试/单元测试** | [**Day11**](01-Python/Day11.md):**文件读写/StringIO/操作文件** | [**Day12**](01-Python/Day12.md):**多进程/多线程/ThreadLocal** |

| [**Day13**](01-Python/Day13.md):**datetime/collections/struct** | [**Day14**](01-Python/Day14.md):**协程/asyncio/async/await/aiohttp** | [**Day15**](01-Python/Day15.md)                              |                                                              |

##### 数据科学包的使用

- **numpy**

  | [**创建ndarray**](05-Machine-Learning-Code/数据分析工具/Numpy/创建ndarray.md) | [**数据类型和运算**](05-Machine-Learning-Code/数据分析工具/Numpy/数据类型和运算.md) | [**索引和切片**](05-Machine-Learning-Code/数据分析工具/Numpy/索引和切片.md) | [**矩阵操作**](05-Machine-Learning-Code/数据分析工具/Numpy/矩阵操作.md) |

  | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |

  

- **pandas**

  | [**加载数据**](05-Machine-Learning-Code/数据分析工具/Pandas/1_Loading.ipynb) | [**行列选择**](05-Machine-Learning-Code/数据分析工具/Pandas/2_Select_row_and_columns.ipynb) | [**索引**](05-Machine-Learning-Code/数据分析工具/Pandas/3_Set_reset_use_indexes.ipynb) | [**过滤器**](05-Machine-Learning-Code/数据分析工具/Pandas/4_Filtering.ipynb) |

  | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |

  | [**更新行列**](05-Machine-Learning-Code/数据分析工具/Pandas/5_update_rows_columns.ipynb) | [**添加行列**](05-Machine-Learning-Code/数据分析工具/Pandas/6_Add_Remove_Rows.ipynb) | [**数据排序**](05-Machine-Learning-Code/数据分析工具/Pandas/7_sort_data.ipynb) | [**数据聚合**](05-Machine-Learning-Code/数据分析工具/Pandas/8_Grouping_Aggregating.ipynb) |

  | [**清洗数据**](05-Machine-Learning-Code/数据分析工具/Pandas/9_Cleaning_Data.ipynb) | [**时间数据**](05-Machine-Learning-Code/数据分析工具/Pandas/10_WorkingWithDatesAndTimeSertesData.ipynb) |                                                              |                                                              |

- **matplotlib**

  | [**直线图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/1_creating_and_customizing_plots.ipynb) | [**bar图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/2_Bar_charts.ipynb) | [**饼状图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/3_Pie.ipynb) | [**stack图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/4_stack.ipynb) |

  | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |

  | [**直线填充**](05-Machine-Learning-Code/数据分析工具/Matplotlib/5_Line_Filling_Area.ipynb) | [**hist图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/6_histograms.ipynb) | [**点状图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/7_Scatter.ipynb) | [**时序图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/8_Time_Series_Data.ipynb) |

  | [**子图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/10_subplot.ipynb) |                                                              |                                                              |                                                              |

##### 进阶和查阅

🤖️机器学习理论

| [**逻辑回归**](02-Machine-Learning/逻辑回归.md)              | [**EM算法**](02-Machine-Learning/EM算法.md)                  | [**集成学习**](02-Machine-Learning/集成学习入门.md)          | [**随机森林和GBDT**](02-Machine-Learning/随机森林和GBDT.md)  |

| :----------------------------------------------------------- | :----------------------------------------------------------- | :----------------------------------------------------------- | :----------------------------------------------------------- |

| [**ID3/C4.5**](02-Machine-Learning/ID3和C4.5算法.md)         | [**K-means**](02-Machine-Learning/K-means.md)                | [**K最近邻**](02-Machine-Learning/K最近邻.md)                | [**贝叶斯**](02-Machine-Learning/贝叶斯.md)                  |

| [**xgboost/lightGBM**](02-Machine-Learning/XgBoost和LightGBM.md) | [**Gradient Boosting**](02-Machine-Learning/Gradient_Boosting.md) | [**Boosting Tree**](https://mp.weixin.qq.com/s/Cdi0CcWDLgS6Kk7Kx71Vaw) | [**回归树**](https://mp.weixin.qq.com/s/XiTH-8FY5Aw-p_1Ifhx4oQ) |

| [**XgBoost**](02-Machine-Learning/XgBoost.md)                | [**GBDT分类**](02-Machine-Learning/GBDT分类.md)              | [**GBDT回归**](02-Machine-Learning/GBDT回归.md)              | [**LightGBM**](02-Machine-Learning/LightGBM.md)              |

| [**CatBoost**](02-Machine-Learning/CatBoost.md)              |                                                              |                                                              |                                                              |

🏊‍♀️深度学习理论

| [**Word2Vec**](03-Deep-Learning/Word2Vec.md) | [**BatchNorm**](03-Deep-Learning/BatchNorm.md)     | [**梯度爆炸和消失**](03-Deep-Learning/梯度爆炸和消失.md) | [**Dropout**](03-Deep-Learning/Dropout.md)     |

| :------------------------------------------- | :------------------------------------------------- | :------------------------------------------------------- | :--------------------------------------------- |

| [**CNN**](03-Deep-Learning/CNN.md)           | [**RNN**](03-Deep-Learning/RNN.md)                 | [**LSTM**](03-Deep-Learning/LSTM.md)                     | [**Attention**](03-Deep-Learning/Attention.md) |

| [**ELMo**](03-Deep-Learning/ELMo.md)         | [**Transformer**](03-Deep-Learning/Transformer.md) | [**BERT**](03-Deep-Learning/BERT.md)                     | [**ALBERT**](03-Deep-Learning/ALBERT.md)       |

| [**XLNet**](03-Deep-Learning/XLNet.md)       |                                                    |                                                          |                                                |

🀄️NLP相关

- 理论

| [**Word2Vec**](03-Deep-Learning/Word2Vec.md) | [**LSTM**](03-Deep-Learning/LSTM.md) | [**ELMo**](03-Deep-Learning/ELMo.md) | [**ALBERT**](03-Deep-Learning/ALBERT.md) |

| -------------------------------------------- | ------------------------------------ | ------------------------------------ | ---------------------------------------- |

| [**XLNet**](03-Deep-Learning/XLNet.md)       |                                      |                                      |                                          |

🤖️机器学习实战

- **numpy**

  

  | [**创建ndarray**](05-Machine-Learning-Code/数据分析工具/Numpy/创建ndarray.md) | [**数据类型和运算**](05-Machine-Learning-Code/数据分析工具/Numpy/数据类型和运算.md) | [**索引和切片**](05-Machine-Learning-Code/数据分析工具/Numpy/索引和切片.md) | [**矩阵操作**](05-Machine-Learning-Code/数据分析工具/Numpy/矩阵操作.md) |

  | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |

  

  

  

- **pandas**

  

  | [**加载数据**](05-Machine-Learning-Code/数据分析工具/Pandas/1_Loading.ipynb) | [**行列选择**](05-Machine-Learning-Code/数据分析工具/Pandas/2_Select_row_and_columns.ipynb) | [**索引**](05-Machine-Learning-Code/数据分析工具/Pandas/3_Set_reset_use_indexes.ipynb) | [**过滤器**](05-Machine-Learning-Code/数据分析工具/Pandas/4_Filtering.ipynb) |

  | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |

  | [**更新行列**](05-Machine-Learning-Code/数据分析工具/Pandas/5_update_rows_columns.ipynb) | [**添加行列**](05-Machine-Learning-Code/数据分析工具/Pandas/6_Add_Remove_Rows.ipynb) | [**数据排序**](05-Machine-Learning-Code/数据分析工具/Pandas/7_sort_data.ipynb) | [**数据聚合**](05-Machine-Learning-Code/数据分析工具/Pandas/8_Grouping_Aggregating.ipynb) |

  | [**清洗数据**](05-Machine-Learning-Code/数据分析工具/Pandas/9_Cleaning_Data.ipynb) | [**时间数据**](05-Machine-Learning-Code/数据分析工具/Pandas/10_WorkingWithDatesAndTimeSertesData.ipynb) |                                                              |                                                              |

  

- **matplotlib**

  

  | [**直线图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/1_creating_and_customizing_plots.ipynb) | [**bar图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/2_Bar_charts.ipynb) | [**饼状图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/3_Pie.ipynb) | [**stack图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/4_stack.ipynb) |

  | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |

  | [**直线填充**](05-Machine-Learning-Code/数据分析工具/Matplotlib/5_Line_Filling_Area.ipynb) | [**hist图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/6_histograms.ipynb) | [**点状图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/7_Scatter.ipynb) | [**时序图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/8_Time_Series_Data.ipynb) |

  | [**子图**](05-Machine-Learning-Code/数据分析工具/Matplotlib/10_subplot.ipynb) |                                                              |                                                              |                                                              |

  

  

🏊‍♀️ 深度学习实战

- **tensorflow**

  

  | [**helloword**](06-Deep-Learning-Code/Tensorflow/Helloworld.md) | [**Basic**](06-Deep-Learning-Code/Tensorflow/Basic.md)       | [**linear_regression**](06-Deep-Learning-Code/Tensorflow/linear_regression.md) | [**logistic_regression**](06-Deep-Learning-Code/Tensorflow/logistic_regression.md) |

  | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |

  | [**world2vec**](006-Deep-Learning-Code/Tensorflow/world2vec.md) | [**基本图像分类**](06-Deep-Learning-Code/Tensorflow/基本图像分类.ipynb) | [**TFHub文本分类**](06-Deep-Learning-Code/Tensorflow/TFHub文本分类.ipynb) |                                                              |

  

  

  

- **pytorch**

  

  | [**start**](06-Deep-Learning-Code/pytorch/gettingstart.md) | [**autograd**](06-Deep-Learning-Code/pytorch/atuograd.ipynb) | [**NeuralNetworks**](06-Deep-Learning-Code/pytorch/NeuralNetworks.ipynb) |      |

  | ---------------------------------------------------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ---- |

  |                                                            |                                                              |                                                              |      |

💻大数据相关

- Hadoop

  

  | [**介绍**](09-BigData/Hadoop/1_介绍.md)     | [**集群搭建01**](09-BigData/Hadoop/2_集群搭建01.md) | [**集群搭建02**](09-BigData/Hadoop/3_集群搭建02.md) | [**集群搭建03**](09-BigData/Hadoop/4_集群搭建03.md) |

  | ------------------------------------------- | --------------------------------------------------- | --------------------------------------------------- | --------------------------------------------------- |

  | [**HDFS01**](09-BigData/Hadoop/5_HDFS01.md) | [**HDFS02**](09-BigData/Hadoop/6_HDFS02.md)         |                                                     |                                                     |

  

  

  

- Hive

📄剑指offer

| [**Day01:二维数组中的查找**](08-offer/day01.md) | [**Day02:字符串替代**](08-offer/day02.md) | [**Day03**](08-offer/day03.md) | [**Day04**](08-offer/day04.md) |

| ----------------------------------------------- | ----------------------------------------- | ------------------------------ | ------------------------------ |

| [**Day05**](08-offer/day05.md)                  | [**Day06**](08-offer/day06.md)            | [**Day07**](08-offer/day07.md) | [**Day08**](08-offer/day08.md) |

| [**Day09**](08-offer/day09.md)                  | [**Day10**](08-offer/day10.md)            | [**Day11**](08-offer/day11.md) | [**Day12**](08-offer/day12.md) |

| [**Day13**](08-offer/day13.md)                  | [**Day14**](08-offer/day14.md)            | [**Day15**](08-offer/day15.md) |                                |

📺Leetcode

- 更新中

🏠Linux

- 更新中