PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker

Implementation of papers in 100 lines of code.

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈

Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices

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

stock股票.获取股票数据,计算股票指标,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。

用于TrafficMonitor的插件

Python library for portfolio optimization built on top of scikit-learn

An open-source framework for reduction of overfitting of DRL agents in Finance

Open-Source Implementations of Large Time-Series Models

Data and Model implementation for paper: FinDKG: Dynamic Knowledge Graph with Large Language Models for Global Finance

Deep Q-Learning Applied to Algorithmic Trading

Generates trading algos for QuantConnect from academic articles

The official repository for paper Evaluating Financial Relational Graphs: Interpretation Before Prediction

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

Implementation of the proposed minGRU in Pytorch

量化机器学习/深度学习模型（Model Zoo）；Alpha 因子（Factor Zoo）； 量化资源以及相关论文代码

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Awesome financial time series forecasting papers and codes

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…

Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".

PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".

NVDA, the free and open source Screen Reader for Microsoft Windows

Official implementation for AAAI2025: AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors