Community程式設計與開發github.com

mindrally/deep-learning-pytorch

提供深度學習、Transformer、擴散模型與大型語言模型(LLM)開發的專家指導,搭配 PyTorch、Transformers、Diffusers 與 Gradio。

deep-learning-pytorch 是什麼?

這個 AI 代理技能「mindrally/deep-learning-pytorch」旨在為開發者提供深度學習領域的專業指引,特別聚焦於 Transformers、擴散模型以及大型語言模型(LLM)的實作與開發。其核心目的是協助使用者利用 PyTorch、Hugging Face Transformers、Diffusers 以及 Gradio 等主流框架,快速搭建、訓練、微調與部署先進的深度學習模型。此技能支援多種平台,如 Claude Code、Coder 或支持 Markdown 技能格式的代理環境,能夠透過結構化的指令與範例程式碼,引導使用者理解複雜概念並執行實際任務。從模型架構選擇、資料預處理、訓練流程最佳化,到最終的互動式應用介面建立,此技能提供從頭到尾的端到端支援,並強調最佳實踐與最新技術趨勢,能顯著提升開發者在尖端 AI 專案上的效率與品質。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/mindrally/skills/tree/main/skills/deep-learning-pytorch

Installed? Explore more 程式設計與開發 skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

deep-learning-pytorch 是做什麼的?

提供深度學習、Transformer、擴散模型與大型語言模型(LLM)開發的專家指導,搭配 PyTorch、Transformers、Diffusers 與 Gradio。

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

mindrally/accessibility-a11y

Implement web accessibility (a11y) best practices following WCAG guidelines to create inclusive, accessible user interfaces.

mindrally/chrome-extension-development

Expert guidelines for Chrome extension development with Manifest V3, covering security, performance, and best practices. Use when building browser extensions, creating popup UIs, implementing content scripts, working with Chrome APIs, managing extension permissions, or publishing to Chrome Web Store.

mindrally/computer-vision-opencv

Expert guidance for computer vision development using OpenCV, PyTorch, and modern deep learning techniques for image and video processing.

mindrally/data-analysis-jupyter

Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

mindrally/expo-react-native-typescript

Expert in Expo React Native TypeScript mobile development with best practices

mindrally/fastapi-python

Expert in FastAPI Python development with best practices for APIs and async operations

mindrally/framer-motion

Expert guidelines for building performant animations with Framer Motion/Motion library in React applications

mindrally/htmx

HTMX development guidelines for building dynamic web applications with minimal JavaScript using HTML attributes.

mindrally/jwt-security

Guidelines for implementing JWT authentication with security best practices for token creation, validation, and storage

mindrally/machine-learning

Machine learning development with JAX, functional programming patterns, and high-performance computing.

mindrally/mysql-best-practices

MySQL development best practices for schema design, query optimization, and database administration

mindrally/nextjs-react-typescript

Expert in TypeScript, Node.js, Next.js App Router, React, Shadcn UI, Radix UI and Tailwind

mindrally/nextjs-typescript-tailwindcss-supabase

Full-stack Next.js 14 development with TypeScript, TailwindCSS, and Supabase for building production-ready web applications.

mindrally/odoo-development

Expert guidance for Odoo ERP development including Python ORM, XML views, and module architecture

mindrally/puppeteer-automation

Expert guidance for browser automation using Puppeteer with best practices for web scraping, testing, screenshot capture, and JavaScript execution in headless Chrome.

mindrally/redis-best-practices

Redis development best practices for caching, data structures, and high-performance key-value operations

mindrally/scrapy-web-scraping

Expert guidance for building web scrapers and crawlers using the Scrapy Python framework with best practices for spider development, data extraction, and pipeline management.

mindrally/scss-best-practices

SCSS/Sassy CSS best practices and coding guidelines for maintainable, scalable stylesheets

mindrally/typeorm

Guidelines for developing with TypeORM, a full-featured ORM for TypeScript and JavaScript supporting multiple databases

mindrally/web-scraping

Expert in web scraping and data extraction with Python tools

相關技能