aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Code for Tensorflow Machine Learning Cookbook
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
A computer science textbook
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
- cnn
- rnn
- detection
- classification
Code repository for O'Reilly book
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。
- esl
- statistical-learning
- esl-cn
- r
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Practical course about Large Language Models.
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
- text-analytics
- text-summarization
- text-classification
- python
open source E-book on statistical physics
- statistical-physics
- statistical-mechanics