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AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架
EasyXT是基于miniqmt中xtquant的二次开发封装库，旨在简化xtquant的使用，提供更友好的API接口。通过统一的接口设计、智能参数处理和完善的错误处理，让量化交易开发变得更加简单高效。
This code is for the book
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Code implementation of the Quantigic 101 Formulaic Alphas
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries. 我们致力于量化知识的开源与汉化，打破国内外量化金融行…
免费开源的模拟加实盘交易策略框架，可实现股票账户无人监管全自动操作，适合作者这类无暇白天盯盘的搬砖狗。
哈尔滨工业大学（深圳）计算机专业课程攻略 | Guidance for courses in Department of Computer Science, Harbin Institute of Technology (Shenzhen)
Implementation of "RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation".
[ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
Havenask is a large-scale distributed information search system widely used within Alibaba Group
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Code and data for "Measuring and Narrowing the Compositionality Gap in Language Models"
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
A generalized information-seeking agent system with Large Language Models (LLMs).
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
A series of large language models trained from scratch by developers @01-ai