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一套为研究生和学术研究者设计的完整AI Prompt库 📖 包含内容: ✨ 40+ 精心设计的AI Prompt ✨ 论文选题系统方法(生成、评估、论证) ✨ 论文查找快速方案(8个不同方案) ✨ 文献综述框架和工具 ✨ Excel自动评估表格 ✨ 3个完整的论证模板 🚀 核心优势: ⚡ 节省时间 50-70%(选题3-5天而不是2-3周) 🎯 科学方法(基于系统的5维度评估体系) 💡 即插即用(所有Prompt直接复制可用) 📚 全流程覆盖(从选题到出版的完整方案) 🎓 适用人群: 👨‍🎓 硕士研究生 | 博士研究生 | 本科毕业设计 | 学术研究者 | 内容创作者

  • academic-research
  • ai
  • ai-prompts
  • ailearning

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

💪 Helper Utils(900+): int, byte, string, array/slice, map, struct, dump, convert/format, error, web/http, cli/flag, OS/ENV, filesystem, system, test/assert, time and more. Go 常用的工具函数:数字,字符串,数组,Map,结构体,反射,文本,文件,错误,时间日期,特殊处理,格式化,常用信息获取等等

  • utils
  • go-library
  • tools
  • strings