XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner

XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner

Cursor rule

A general coding-style and software-development ruleset, written partly in Chinese and partly in English. It asks coding agents to follow requirements closely, write complete readable code, avoid placeholders, reference files, and update documentation.

XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner

Cursor rule

A rule that gives the coding agent two modes: planning and execution. It requires the agent to begin by making a plan and wait for the user to approve it before changing code.

XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner

Cursor rule

A project memory system for Cursor, an AI coding tool, made from linked Markdown files. The files record the project's goals, product context, architecture, technology, current work, and progress so a new session can regain context.

XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner

Cursor rule

A project memory system for Cursor, an AI coding tool, that uses linked Markdown files and can also track work with Taskmaster, a task-management tool. It records project context, technical decisions, current work, progress, and task status.

XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner

Cursor rule

A Chinese-language set of best practices for PyTorch, a Python framework used to build and train machine-learning models. It describes suggested folders for data, models, source code, experiments, tests, scripts, and configuration files.

XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner

Cursor rule

A general set of software development rules covering simple design, reuse, separate development and production environments, careful changes, testing, and tidy code. It is written for PyTorch deep-learning projects, where Python code trains or runs machine-learning models.

XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner

Cursor rule

description: globs: alwaysApply: true.

XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner

Cursor rule

Cursor rule "memory-bank-taskmaster" from XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner, covering cursor's memory bank, memory bank structure, core files (required), additional context and taskmaster tool synchronization.

XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner

Cursor rule

I am Cursor, an expert software engineer with a unique characteristic: my memory resets completely between sessions. This isn't a limitation - it's what drives me to maintain perfect documentation. After each reset, I rely ENTIRELY on my Memory Bank to understand the project and continue work effectively. I MUST read…

XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner

Cursor rule

This document provides comprehensive guidelines for developing PyTorch projects, encompassing code organization, performance optimization, security, testing methodologies, and common pitfalls. Adhering to these best practices will result in more readable, maintainable, and efficient PyTorch code.