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

🔥机器学习/深度学习/Python/大模型/多模态/LLM/deeplearning/Python/Algorithm interview/NLP Tutorial
https://github.com/zkywsg/daily-deeplearning

cv deep-learning leetcode leetcode-python leetcode-solutions llm machine-learning nlp python pytorch pytorch-nlp pytorch-tutorial pytorch-tutorials tensorflow tensorflow-examples tensorflow-tutorials

Last synced: 7 days ago
JSON representation

🔥机器学习/深度学习/Python/大模型/多模态/LLM/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 (over 5 years ago)
Default Branch: master
Last Pushed: 2024-12-26T13:04:47.000Z (27 days ago)
Last Synced: 2025-01-08T15:13:15.558Z (14 days ago)
Topics: cv, deep-learning, leetcode, leetcode-python, leetcode-solutions, llm, 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: 642
Watchers: 19
Forks: 143
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # **Daily-DearnLearning**

### 

💻计算机基础课

📊数据结构

- [**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

- [**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/10文件系统基础.md)

🌐计算机网络

- [**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: 变量/字符串/数字和运算符**](01-Python/Day01.md)

- [**Day02: 列表/元组**](01-Python/Day02.md)

- [**Day03: 字典/set**](01-Python/Day03.md)

- [**Day04: if/循环**](01-Python/Day04.md)

- [**Day05: 调用函数/定义函数/函数的参数**](01-Python/Day05.md)

- [**Day06: 迭代/列表生成式/生成器/迭代器**](01-Python/Day06.md)

- [**Day07: 高阶函数/返回函数/匿名函数/装饰器**](01-Python/Day07.md)

- [**Day08: 类和实例/限制访问/继承和多态**](01-Python/Day08.md)

- [**Day09: __slots/@property/多重继承/定制类/枚举类**](01-Python/Day09.md)

- [**Day10: 错误处理/调试/文档测试/单元测试**](01-Python/Day10.md)

- [**Day11: 文件读写/StringIO/操作文件**](01-Python/Day11.md)

- [**Day12: 多进程/多线程/ThreadLocal**](01-Python/Day12.md)

- [**Day13: datetime/collections/struct**](01-Python/Day13.md)

- [**Day14: 协程/asyncio/async/await/aiohttp**](01-Python/Day14.md)

- [**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)

### 

🤖️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)

- [**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)

##### 工作联系: [email protected]