123sghn

123sghn's Stars

• datawhalechina/llm-universe

  本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

  Language:Jupyter Notebook3.9k505

• old-yan/CP-template

  C++ template files for competitive programming

  Language:C++16131

• ubuntu-achieve/Explain

  可解释性分析研究

  Language:JavaScript4

• YoujiaZhang/MNIST-Calculator-Handwriting-recognition

  MNIST·扩展数据集·手写识别计算器·多目标检测·可解释性分析·可视化·handwriting recognition calculator·multi-target detection·explainability·extended dataset

  Language:Python152

• JesseYule/DeepLearningInterpretability

  深度学习可解释性论文汇总

  112

• PaddlePaddle/InterpretDL

  InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

  Language:Python23438

• TommyZihao/Train_Custom_Dataset

  标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

  Language:Jupyter Notebook2.9k618

• YuRuiii/2023-NJUAI-open-day-review

  A brief review of 2023 NJUAI open day test & interview

  834

• zhiyiYo/PyQt-Fluent-Widgets

  A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.

  Language:Python5.1k475

• sunkafei/xcpc-algorithm-templates

  XCPC/ICPC/CCPC 算法模板

  Language:C++46029

• richenyunqi/CCF-CSP-and-PAT-solution

  CCF CSP和PAT考试题解（使用C++14语法）

  Language:C++727128

• AccumulateMore/CV

  ✔（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】

  Language:Jupyter Notebook4.8k656

• lzz335/easy-get_arxiv-paper

  Language:Python7

• vokzvokz/boruvki

  GUI for creating minimum spanning tree by Boruvki algorithm with SVG visualization

  Language:C++1

• pvmtrang/kruskal-sfml

  A simple visualization of Kruskal finding the minimum spanning tree

  Language:C++1