practicalAI-cn

Why we included this project

Chinese-speaking learners looking for a structured way into PyTorch will find a lot to work with here. This is a full translation of the practicalAI curriculum, with notebooks that move from Python, NumPy, and Pandas through linear regression, convolutional and recurrent networks, autoencoders, GANs, and applied areas like computer vision, time series, and recommendation systems. Everything runs in Google Colab, so you can execute code in the browser without installing anything locally. Later notebooks cover object-oriented ML design, which helps you go from toy examples to code you might actually ship. The progression by topic makes it easy to jump to whatever you need.