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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

aialpha

Use unsupervised and supervised learning to predict stocks

alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

bert_stock_forecasting

Stock price forecasting stuff with BERT

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

dl-on-flink

Deep Learning on Flink aims to integrate Flink and deep learning frameworks (e.g. TensorFlow, PyTorch, etc) to enable distributed deep learning training and inference on a Flink cluster.

flink-ml

Machine learning library of Apache Flink

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

futu_algo

Futu Algorithmic Trading Solution (Python) 基於富途OpenAPI所開發量化交易程序

futuquant

富途量化平台 API

hist

The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

introneuralnetworks

Introducing neural networks to predict stock prices

loan-api-java-sdk

api全流程对接java sdk

lstm-load-forecasting

Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstnet

lstnet-with-attention-tf.keras

lstnet_keras

Keras version of LSTNet

ngbatis

NGBATIS is a database ORM framework base NebulaGraph + spring-boot, which takes advantage of the mybatis’ fashion development, including some de-factor operations in single table and vertex-edge, like mybatis-plus.（NGBATIS 是一款针对 NebulaGraph + Springboot 的数据库 ORM 框架。借鉴于 MyBatis 的使用习惯进行开发。）

nupic

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

nupic-stock-prediction

Uses Hierarchical Temporal Memory to predict the price of RLG based on historical data

rqalpha

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

sentinel

A powerful flow control component enabling reliability, resilience and monitoring for microservices. (面向云原生微服务的高可用流控防护组件)

sentinel-golang

Sentinel Go enables reliability and resiliency for Go microservices

spring-cloud-alibaba

Spring Cloud Alibaba provides a one-stop solution for application development for the distributed solutions of Alibaba middleware.

stoch-predict-with-tranformer-lstm

stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM