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We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
Non Linear Regression example with Keras
Minimal, clean example of lstm neural network training in python, for learning purposes.
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Logistic regression from scratch in Python
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
This is a genetic algorithm implemented in python to solve the LPPL equation looking for market bubbles
该项目是基于医疗领域知识图谱的问答系统。实现比较简单。
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。
Constructing Financial Sentimental Factors in Chinese Market Using Techniques of Natural Language Processing
利用pandas将excel中数据抽取，以三元组形式加载到neo4j数据库中构建相关知识图谱
计算波动率的六种方法，计算隐含波动率，凤凰期权的定价，编制基于50ETF期权的VIX指数
Pricing of Asian Options under Stochastic Interest Rates following Ornstein Uhlenbeck model.