通达信数据读取的一个简便使用封装

一个极简的指数/股票/基金分析工具，支持实时行情获取和大模型分析和预测。

End-to-End Python implementation of STRAPSim: a novel portfolio similarity metric from Li et al. (2025). Combines Random Forest proximity learning with residual-aware bipartite matching to quantify…

这个是一个将 Cloudflare Workers - VLESS 搭配 自建优选域名 的 订阅生成器

A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience

Provide free clash subscriptions of ssr / vmess / hysteria2 proxy servers 提供免费clash订阅，免费ssr节点，免费trojan节点，免费vmess节点，免费hysteria2节点服务器

在原版的基础上修改了显示 VLESS 配置信息转换为订阅内容。使用该脚本，你可以方便地将 VLESS 配置信息使用在线配置转换到 Clash 或 Singbox 等工具中。

结合DEQ算法和RWKV-v7架构的实验项目

Kronos: A Foundation Model for the Language of Financial Markets

This is the official implementation of CIKM 2025 FinCast Financial Time series foundation model

The implementation of AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining(https://www.arxiv.org/abs/2508.13174).

1st Place Solution for O2O Coupon Usage Forecast

Hierarchical Reasoning Model Official Release

深度学习数学基础 https://erenup.github.io/deeplearningbasics

This repository contains the code for "Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting"

A machine learning-based stock trading simulation using Linear Regression, Decision Tree, Random Forest, and Neural Networks, enhanced by an ensemble Mixture of Experts strategy.

PyTorch Code for Energy-Based Transformers paper -- generalizable reasoning and scalable learning

Jane Street Real-Time Market Data Forecasting 2025: https://www.kaggle.com/competitions/jane-street-real-time-market-data-forecasting

My submission to Jane Street Real-Time Market Data Forecasting Kaggle Challenge

Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public

Submission for the Jane Street Real-Time Data Forecasting Kaggle competition.

Accepted at WWW 25 Industrial Track (oral)

更简单的微调，提供便捷脚本，微调说明