pertain's repositories
All-Programming-E-Books-PDF
A Curated List Of Programming Books For C, C++ , Python, JavaScript, NodeJs, ReactJs, Web, JQuery, Flask, Dom, Angular, CSS, HTML for beginners, intermediate, advanced and experts
open-source-cs-python
Video discussing this curriculum:
python_data_science
Docker container with Jupyter, Matplotlib, Pandas, Tensorflow and Keras
tensorflow-101
《TensorFlow 快速入门与实战》和《TensorFlow 2 项目进阶实战》课程代码与课件
DAIN
Depth-Aware Video Frame Interpolation (CVPR 2019)
geojson-world-cities
geojson files for world city boundaries
StanfordDoggoProject
Stanford Doggo is an open source quadruped robot that jumps, flips, and trots!
pyTranscriber
pyTranscriber can be used to generate automatic transcription / automatic subtitles for audio/video files through a friendly graphical user interface.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
PyDataPreprocessing
《Python数据预处理技术与实践》源码下载
aotodata
朱小五写文章涉及到的数据分析，爬虫，源数据
coding-interview-university
A complete computer science study plan to become a software engineer.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
The-Flask-Mega-Tutorial-zh
翻译自Miguel Grinberg的blog https://blog.miguelgrinberg.com 的2017年新版The Flask Mega-Tutorial教程
lihang-code
《统计学习方法》的代码实现
bert
TensorFlow code and pre-trained models for BERT
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
grok_sdi_educative
Grokking the System Design Interview Course
Virgilio
Your new Mentor for Data Science E-Learning.
tutorials
CatBoost tutorials repository
Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
notes
Notes on data science, machine learning, artificial intelligence, history, and social science.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
shap
A unified approach to explain the output of any machine learning model