Ki-Seki

Shichao Song's repositories

MOPSO-for-Distribution

一个疫情背景下应急物资配送算法：用改进后的多目标粒子群优化（MOPSO）算法解决带有风险矩阵的多辆车配送旅行商问题（TSP）

Language:MATLABGPL-3.063 1 2

chat_prompt_templates

Collection of Basic Prompt Templates for Various Chat LLMs (Chat LLM 的基础提示模板集合)

MIT24 10

Genetic-Particle-Swarm-Optimization

陈克明《动态多智能算法及其在物流配送系统中的应用研究》中的遗传-粒子群算法复现

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KGCN-pytorch-updated

An updated PyTorch implementation of the KGCN model

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solutions

此仓库包括我所做过的来自各大题库的 OJ 算法题的题解，这些题库包括：浙江大学计算机程序设计能力考试（PAT）题库，UVa 题库，Codeup 题库，洛谷题库，北京大学 OJ 题库（POJ），安徽科技学院 ACM 题库（AOJ）......目前在主攻 PAT，完成度已过 55.6%，其中部分题解提供多种方法、以及我给出的测试样例。

Language:C++MIT7 10

gadgets

杂七杂八的一些小程序。比如说学习辅助工具（单词表生成器、C代码比较工具）、爬虫（京东评论、王道就业）、脚本（自动订座，自动评论）等

Language:PythonMIT5 10

modeling

这个仓库保存了自己备战、参与数学建模竞赛时所写的相关代码（以 MATLAB 为主）。

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kPython

A single-line Python command interpreter.

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set_determ

Set deterministic modes of `random`, `torch` and `numpy` to ensure reproducibility. Idea is inspired by https://darinabal.medium.com/deep-learning-reproducible-results-using-pytorch-42034da5ad7

Language:PythonMIT1 10

SituEval

A benchmark with a truly infinite number of test items. Say goodbye to benchmark cheaters.

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who-to-follow

Who are the people/organizations I should be following in the field of large language models? | 在大语言模型领域，应该关注哪些人/组织？

CC0-1.01 10

algorithm

原创的 C/C++ 数据结构与算法模板或者笔记，主要是给自己备考用的

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DGCNN-updated

A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"

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DNN-Regression-Step-by-Step

Make a framework-free DNN Regression model step by step.

Language:PythonGPL-3.0020

This project solves the IMDB review classification problem, which is a case study of Deep Learning with Python (See section 6.1.3). The book has an implementaion in Keras. I re-implement it using PyTorch.

Language:Jupyter NotebookMIT010

Ki-Seki

My personal repository

010

ki-seki.github.io

My personal academic homepage

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draw_radar

Draw radar chart with matplotlib.

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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test

Welcome to this repository! Here you can learn and practice Git and GitHub. Feel free to explore and make changes to the code. You can also create branches, merge pull requests, collaborate with others, etc. 欢迎来到这个仓库！在这里你可以学习和练习 Git 和 GitHub 的使用。欢迎探索并对代码进行更改。您还可以创建分支，合并拉取请求，与他人合作等。

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Language:PythonApache-2.0000