Understanding Quantum Computing from the Math Up
A self-contained walkthrough of the mathematical foundations of quantum computing — from complex numbers and the Bloch sphere all the way to variational algorithms on near-term …
图神经网络（Graph Neural Networks）
图神经网络是一种用于处理图结构数据的深度学习模型。 Graph Neural Networks are deep learning models designed to work with graph-structured data.
机器学习(二)（Machine Learning II）
机器学习基础知识和概念。 Basic knowledge and concepts of machine learning.
机器学习(一)（Machine Learning I）
机器学习历史以及基本概念。 History and basic concepts of machine learning.
Tenstorrent HPC快速上手指南（The Quick Start Guide to Tenstorrent HPC）
简单高效的Tenstorrent上手指南，让你快速理解Tenstorrent， 并使用Tenstorrent进行高性能计算。 A simple and efficient quick start guide to Tenstorrent, helping you quickly understand Tenstorrent and use it for …
CUDA快速上手指南（The Quick Start Guide to CUDA）
简单高效的CUDA上手指南，让你快速理解CUDA。 A simple and efficient quick start guide to CUDA, helping you quickly understand CUDA.
Ascend快速上手指南（The Quick Start Guide to Ascend）
简单高效的Ascend上手指南，让你快速理解Ascend。 A simple and efficient quick start guide to Ascend, helping you quickly understand Ascend.
机器学习数学基础（The Mathematical Foundations of Machine Learning）
机器学习是人工智能的一个分支，它使计算机能够从数据中学习和做出决策。 Machine learning is a branch of artificial intelligence that enables computers to learn from data and make decisions.