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A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
This is code of book "Learn Deep Learning with PyTorch"
:green_book: The Beauty of Python Programming.
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
Example application code for the python architecture book
Machine Learning in Finance: From Theory to Practice Book
Online resources for Python Crash Course, 3rd edition, from No Starch Press.
PyCharm 中文指南：安装 | 破解 | 效率 | 技巧
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
:book: [译] 面向机器学习的特征工程
Textbook on reinforcement learning from human feedback
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
Beginners book on Python - start here if you don't know programming
Code for the Make Your Own Neural Network book
兜哥出品 <一本开源的NLP入门书籍>
Effective Python: Third Edition — Source Code and Errata for the Book
A collaborative book on algorithms
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.