CharlesChan1996
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Agent Framework / shim to use Pydantic with LLMs
A collection of examples that show how to use CrewAI framework to automate workflows.
Start building LLM-empowered multi-agent applications in an easier way.
🧑🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.
A Collection of High Quality research papers and open-source projects about LLM-agents
A local chatbot fine-tuned by bilibili user comments.
This is an AI agent for Street Fighter II Champion Edition.
A suite of photonic inverse design challenge problems for topology optimization benchmarking
aider is AI pair programming in your terminal
low-cost, high-efficiency, easy-to-implement
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
A tool to populate missing `DateTimeOriginal` EXIF metadata in Google Photos takeout, using Google's JSON metadata.
If you have any good suggestions or comments during the search process, please feedback some index experience in issues. Thank you for your participation.查阅过程中，如果有什么好的意见或建议，请在Issues反馈，感谢您的参与。
本系统是集工单统计、任务钩子、权限管理、灵活配置流程与模版等等于一身的开源工单系统，当然也可以称之为工作流引擎。 致力于减少跨部门之间的沟通，自动任务的执行，提升工作效率与工作质量，减少不必要的工作量与人为出错率。
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
⚔️ Web Hacker's Weapons / A collection of cool tools used by Web hackers. Happy hacking , Happy bug-hunting
Tools to set up a quick macOS VM in QEMU, accelerated by KVM.
Collection of notebooks about quantitative finance, with interactive python code.
(No longer maintained owing to the lack of sufficient free ss accounts)Python爬虫/Flask网站/免费ShadowSocks账号/ssr订阅/json 订阅
Hackintosh long-term maintenance model EFI and installation tutorial
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"