21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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 ;)

The fastai deep learning library

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Learn OpenCV : C++ and Python Examples

《统计学习方法》的代码实现

Data and code behind the articles and graphics at FiveThirtyEight

📡 Simple and ready-to-use tutorials for TensorFlow

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Code for Machine Learning for Algorithmic Trading, 2nd edition.

The "Python Machine Learning (1st edition)" book code repository and info resource

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

An open-source, low-code machine learning library in Python

A collection of pre-trained, state-of-the-art models in the ONNX format

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Simple tutorials using Google's TensorFlow Framework

From the basics to slightly more interesting applications of Tensorflow

fast.ai Courses

The 3rd edition of course.fast.ai

pandas中文教程

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

Lectures on scientific computing with python, as IPython notebooks.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…

Tutorials for creating and using ONNX models

Fast and flexible AutoML with learning guarantees.

📈 如何用深度强化学习自动炒股