Pinned Repositories
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.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We us
aidbang's Repositories
aidbang/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)
aidbang/spring-cloud-alibaba
Spring Cloud Alibaba provides a one-stop solution for application development for the distributed solutions of Alibaba middleware.
aidbang/sentinel-golang
Sentinel Go enables reliability and resiliency for Go microservices
aidbang/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
aidbang/flink-ml
Machine learning library of Apache Flink
aidbang/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
aidbang/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
aidbang/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
aidbang/ta4j
A Java library for technical analysis.
aidbang/LSTNet
aidbang/rqalpha
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
aidbang/zvt
modular quant framework.
aidbang/futu_algo
Futu Algorithmic Trading Solution (Python) 基於富途OpenAPI所開發量化交易程序
aidbang/stock_prediction
基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks
aidbang/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
aidbang/stock
30天掌握量化交易 (持续更新)
aidbang/Alink
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
aidbang/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
aidbang/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
aidbang/dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
aidbang/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
aidbang/Transformer_Time_Series
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
aidbang/HIST
The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".
aidbang/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。）
aidbang/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.
aidbang/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.
aidbang/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We us
aidbang/LSTM-Load-Forecasting
Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.
aidbang/Stock-Price-Prediction-6269-Flexium
Stock price prediction using Informer || NTNU CSIE master&PhD 2nd semester elective - Artificial Neural Network - Project 1 / 師大資工碩博下學期選修 - 類神經網路 - 專案作業一
aidbang/lstnet-with-attention-tf.keras