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-quartz

量化回测框架

10kinds-light-face-detector-align-recognition

10种轻量级人脸检测算法的比拼，其中还包含人脸关键点检测与对齐，人脸识别

10mohi6-stock-pairs-trading-python

stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.

1ifbylan2ifbyc-diebold_bondyield

Recreation of Diebold and Li: Forecasting the term structure of government bond yields in python.

201804_barrafactors

Factor model referred by the Barra Model (USE4/CNE5) and decomposition of China mutual/private funds.

201806_assetallocation

Asset allocation by BL model with 10 risk levels.

201806_moneyfundplus

It might be a product better than money fund.

2019-ccf-bdci-nlp

2019 CCF BDCI 技术需求与技术成果项目之间关联度计算模型第二名、2019 CCF BDCI 互联网金融新实体发现第四名、2019 CCF BDCI 金融信息负面及主体判定第五名

2019-ccf-bdci-ocr-mczj-ocr-identificationidelement

2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码

3mux

Terminal multiplexer inspired by i3

51zhy_pdf

电子工业出版社“悦读”PDF下载

996quant

35岁程序员退路之量化投资学习笔记

a-scalable-timing-strategy-of-how-to-build-a-high-frequency-strategy-with-700-annual-returns-

IF1405, IF1406, Scalable Timing Strategy, high frequency trading, probit, adaboost, machine learning, quant backtest

a-stock-prediction-algorithm-based-on-machine-learning

（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM等

aaron-wheeler-brokerage.jl

Simulation platform for facilitating agent-based modeling of financial markets

aaron-wheeler-tradingagents.jl

Julia package for simulating large populations of trading agents

aat

Async Algorithmic Trading Engine

abcboost

abs-tudelft-memory-disaggregation-thymesisflow-arrow

Accessible memory disaggregation using Apache Arrow and ThymesisFlow to allow for zero-copy, zero-serialization data transfers

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

acbezerra-bond-data

acbezerra-bond-model

codes for the computation of the 2-period and continuous-time versions of my dissertation's structural credit-risk model.

aceacejasonhuang-gplearnplus

升级后的gplearn， 支持包含时序和截面参数的自定义函数，例如均线

active-passive-losses

Code for ICML2020 paper [“Normalized Loss Functions for Deep Learning with Noisy Labels"] https://arxiv.org/abs/2006.13554

adagcn

Official Implementation of AdaGCN (ICLR 2021)

adaptivexgboostclassifier

Implementation of the Adaptive XGBoost classifier for evolving data streams

adaptnlp

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

adco

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

adgat

Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks

adjustautocorrelation

Adjusting for Autocorrelated Errors in Neural Networks for Time Series