373Kice

373Kice

Geek Repo

Company:ShangHai University

Location:ShangHai

Home Page:373Kice.github.io

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373Kice's repositories

373Kice

Config files for my GitHub profile.

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AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

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fancyss

fancyss is a project providing tools to across the GFW on asuswrt/merlin based router.

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frp

A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

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gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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jarvis

JARVIS-Tools: an open-source software package for data-driven atomistic materials design

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Learning-OpenCV-4-Computer-Vision-with-Python-Third-Edition

Learning OpenCV 4 Computer Vision with Python 3 – Third Edition, published by Packt

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LobsterAutomation

This is a package to reproduce the publication on Lobster automation

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MathModel

研究生数学建模,本科生数学建模、数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT

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microblog

A microblogging web application written in Python and Flask that I developed as part of my Flask Mega-Tutorial series.

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onedrive

Free Client for OneDrive on Linux

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phononwebsite

Visualise lattice vibrations

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prompt-engineering-for-developers

吴恩达《ChatGPT Prompt Engineering for Developers》课程中文版

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pyband

band plot using python matplotlib

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StableLM

StableLM: Stability AI Language Models

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systemd

The systemd System and Service Manager

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tdep

The Temperature Dependent Effective Potentials (TDEP) code

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TransOpt

The package TransOpt makes it possible for VASP users to calculate electrical transport properties (Seebeck coefficients, electrical conductivities, and electronic thermal conductivities) by using (1) the momentum matrix method (Method 1) or (2) derivative method same as adopted in BoltzTrap (Method 2).

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UCM

UCM files for Intel platforms

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