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shenrun's Projects

qlib icon qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

quant-mi icon quant-mi

致力于多因子,AI策略,可盈利模型的研究

quantaxis icon quantaxis

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

quantstats icon quantstats

Portfolio analytics for quants, written in Python

reference icon reference

⭕ Share quick reference cheat sheet for developers.

riskfolio-lib icon riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

sampleproject icon sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

stick icon stick

:innocent: A PyTorch-like deep learning framework. Just for fun.

stock-embeddings icon stock-embeddings

Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets

ultraopt icon ultraopt

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

ustc-courses icon ustc-courses

:heart:**科学技术大学计算机学院课程资源备份,最新的请查看--->

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vnpy icon vnpy

基于Python的开源量化交易平台开发框架

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