yys's starred repositories
ChatGPT-Next-Web
A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。
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。
bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
Fay
Fay is an open-source digital human framework integrating language models and digital characters. It offers retail, assistant, and agent versions for diverse applications like virtual shopping guides, broadcasters, assistants, waiters, teachers, and voice or text-based mobile assistants.
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
mplfinance
Financial Markets Data Visualization using Matplotlib
jupyter-ai
A generative AI extension for JupyterLab
pycryptodome
A self-contained cryptographic library for Python
awesome-systematic-trading
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
qstock
qstock由“Python金融量化”公众号开发,试图打造成个人量化投研分析包,目前包括数据获取(data)、可视化(plot)、选股(stock)和量化回测(策略backtest)模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口; 选股模块提供了同花顺的选股数据和自定义选股,包括RPS、MM趋势、财务指标、资金流模型等; 回测模块为大家提供向量化(基于pandas)和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号,获取更多应用信息。
marker-api
Easily deployable 🚀 API to convert PDF to markdown quickly with high accuracy.
PythonAiRoad
source code of some articles
GPT-Actions
GPT Auth provides a user-friendly solution to quickly setup oauth for your custom GPT and self-host it.
GPlearn_finiance_stock_futures_extension
This implementation contains the application of GPlearn's symbolic transformer on a commodity futures sector of the financial market.
JPG-PNG-to-MNIST-NN-Format
Python/Bash scripts for creating custom Neural Net Training Data -- this repo is for the MNIST format
10jqka-API
同花顺股票交易接口
kezhuanzhai
自动化可转债之旅
KNN-for-pattern-recognize-
KNN形态识别 股票形态识别(如W双底)用图像识别的方法准确率高但速度慢(因要画图),用K-近邻方法以数值型数据计算快准确率基本符合要求(查准率70%左右),可用于对决策时间有要求的交易。 工作完成情况: 1、W双底识别模型查准确率约70% 2、模型文件上载到聚宽后可在回测中调用。
Classify-Fu
✅图像分类成长赛——AI集福,“福”字图片识别