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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual
Working, locally-running, low-cost implementation of Generative Agents: Interactive Simulacra of Human Behavior.
Datasets & Analyses for Formula 1 World Championship
BUPT 2023 Fall Pattern Recognition & Machine Learning