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ai_fundmanager

[팀프로젝트] 인공 신경망과 강화학습을 통한 실시간 주식매매 프로그램 (Tensorflow, Keras, 키움 openAPI, PyQT) (20년 10월 - 20년 12월)

akshare

AkShare is an elegant and simple financial data interface library for Python, built for human beings! 一款丰富的开源财经数据接口库

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

algo-trader-tool-suite

Proprietary trading solution for high-frequency trading (HFT) and statistical arbitrage algorithms

algo-trading-14

Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm

algorithmic-trading-highlowpoint

Algorithmic trading

algorithmic_trading_book

2 books and related source codes for algorithmic trading.

alicemind

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

aligraph

Large Scale Graphical Model

alpha-factor-mining

working project in ifund asset management

alpha-pipe

alphaengine

alphafactorsmining

alphagen

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

alphalens

Performance analysis of predictive (alpha) stock factors

alphanet

alphanetv3

Recurrent Neural Network for predicting Stock Returns

alphaportfolio

alphas

alpha101, alpha191, alphalens, backtrader, 量化研究

alphastockserver

amazingquant

AmazingQuant——为交易而生的智能投研Lab。包含策略组合研究服务、量化数据服务、指标计算服务、绩效分析服务四大功能模块。

an-application-of-deep-reinforcement-learning-to-algorithmic-trading

Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"

analyzingalpha

anomalydetector

SR-CNN

ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

anti-anti-spider

越来越多的网站具有反爬虫特性，有的用图片隐藏关键数据，有的使用反人类的验证码，建立反反爬虫的代码仓库，通过与不同特性的网站做斗争（无恶意）提高技术。（欢迎提交难以采集的网站）（因工作原因，项目暂停）

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

aps2020

Code for the paper 'Variable Selection with Copula Entropy' accepted by Chinese Journal of Applied Probability and Statistics