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Learn how to design, develop, deploy and iterate on production-grade ML applications.
10 Weeks, 20 Lessons, Data Science for All!
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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Data and code behind the articles and graphics at FiveThirtyEight
📡 Simple and ready-to-use tutorials for TensorFlow
One has no future if one couldn't teach themself.
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Practice your pandas skills!
Public facing notes page
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
Automatic extraction of relevant features from time series:
My blogs and code for machine learning. http://cnblogs.com/pinard
Sample code for Channel 9 Python for Beginners course
Notebooks and code for the book "Introduction to Machine Learning with Python"
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Python code for "Probabilistic Machine learning" book by Kevin Murphy
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
"Probabilistic Machine Learning" - a book series by Kevin Murphy
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.