academia 开源项目推荐（496 个）

LearningCircuit /local-deep-research

SimpleQA上的约95%（例如，3090上的Qwen 3.6 - 27 B）。支持所有本地和云LLC（llama.cpp、Olama、Google.）。10+个搜索引擎- arXiv、PubMed、您的私人文档。一切都是本地且加密的。

JabRef /jabref

用于管理BibTeX和BibLaTeX（.bib）库的桌面应用程序

amilajack /reading

A list of computer-science readings I recommend

openjournals /joss

开源软件杂志

leereilly /swot

Archived — SWOT delighted millions of students with GitHub discounts and saved bazillions of review hours. Follow JetBrains/swot for future updates.

nathanlesage /academics-on-mastodon

由乳齿象学者组成的各种名单列表

helenahartmann /awesome-PhD

All the resources I wish I knew when starting my PhD. This repository is aimed to be a living, constantly developing resource where everybody can contribute with new academia-focused resources!

HugoBlox /theme-research-group

👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code

plandes /zotsite

Export Zotero to a stand-alone web site

whiskyechobravo /kerko

A web application component that provides a faceted search interface for bibliographies managed with Zotero.

Pold87 /academic-keyword-occurrence

提取学术论文中搜索词的历史出现情况

Scriptbash /Wispar

Stay up-to-date with academic journals and the latest research articles!

gugeldev /exercicios-bd-ptbr

base de dados open source gratuita com mais de 800 exercícios físicos detalhados em pt-br.

Academic-ID /sapienAI

Self-hosted academic chatbot, research workspaces and editor (LaTex, Typst, markdown, ...) leveraging local and leading AI models.

davidswelt /zot_bib_web

Create interactive web bibliographies based on Zotero collections

jghauser /papis.nvim

Manage your bibliography from within your favourite editor

GIS4WRF /gis4wrf

Q地理信息系统工具包，用于在天气研究和预报（WRF）模型中预处理和后处理数据包、可视化数据包以及运行模拟数据包

mikepierce /conference-website-template

Simple HTML/CSS website template for an academic/tech conference

timothygebhard /barks

A simple, minimalistic theme for Hugo.

AbertayMachineLearningGroup /network-threats-taxonomy

Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies