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ai_quant_trade

(Eng. Incl.) 股票AI操盘手：包含股票知识、策略实例、机器学习、深度学习、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

ailabx-xiaolongguo

AI量化实验室，专注将前沿人工智能技术(深度学习/强化学习/知识图谱)应用于金融量化投资。

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

ainlp-resource

Resource for AINLP

aiops-handbook

Collection of slides, repositories, papers about AIOps

aizoo

ai 工具类

akshare

AkShare is an elegant and simple financial data downloader library for Python, built for human beings!

albert_ner_keras

利用ALBERT和BI-LSTM，在Keras中实现序列标注算法。

albert_zh

海量中文预训练ALBERT模型 Chinese version of ALBERT pre-trained model

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

algorithms-and-coding-interviews

Open source content from a book in progress, Hands-on Algorithmic Problem Solving

alibi-detect

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

allocation-time_select

配置与择时模型框架

alpha-101-gtja-191

alpha-mind

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

alpha-scientist

alpha-zero-boosted

A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

alpha-zero-gomoku

A Multi-threaded Implementation of AlphaZero

alphalens-reloaded

Performance analysis of predictive (alpha) stock factors

alphanetv3

Recurrent Neural Network for predicting Stock Returns

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

alphasickle

多因子指数增强策略/多因子全流程实现

alphasignalfrommachinelearning

alphatrading

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

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。

amortizedcausaldiscovery

Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

analysis-of-stock-high-frequent-data-with-lstm

A simply framework of researching stock data through LSTM by Tensorflow