robeck

mcdm

Python implementation of multiple-criteria decision-making algorithms

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

frds

Financial research data services for academics.

2017-SRisk

My 2017 implementation of the SRisk model created by Robert Engle and Christian Brownlees

KG_GCN_Stock_price_trend_prediction_system

USTC-2021Spring-Introduction_to_Deep_Learning

USTC 2021春季学期 深度学习导论实验：FNN，CNN，RNN，LSTM，BERT，GCN

Agriculture_KnowledgeGraph

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

dgl

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

temporal-gcn-lstm

Code for Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat

machine_learning_model

机器学习基本模型算法介绍(附加案例)

Feature-Selection-for-Machine-Learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

graph-data-science-client

A Python client for the Neo4j Graph Data Science (GDS) library

feature-selection-for-machine-learning

Code repository for the online course Feature Selection for Machine Learning

Multivariate-time-series-models-in-Keras

This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.

stockPredictionUsingLSTM

This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Amazon's stock prices in the past five years and achieved a satisfying prediction result.

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

VaR_CVaR

Using three approaches to calculate Value at Risk and Conditional Value at Risk of a portfolio of assets.

CoVaR-Conditional-VaR-Project

Replication and extension of paper on Conditional Value at Risk (CoVaR) by Adrian and Brunnermeier.

kmeans_smote

Oversampling for imbalanced learning based on k-means and SMOTE

multinetx

multiNetX is a python package for the manipulation and visualization of multilayer networks. It is build on NetworkX

copulae

Multivariate data modelling with Copulas in Python

gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

KMVmodel

This Model is created to describe the credit risk of a listed company

OpenHINE

An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)

Machine-Learning

LR / SVM / XGBoost / RandomForest etc.

gpopy

Genetic algorithm Parameter Optimizer Python (GPOPY)

QPSO_python

QPSO algorithm for multi-parameters optimization

shap

A game theoretic approach to explain the output of any machine learning model.

ga_bp

a back propagation neural network with genetic algorithm

tfelm

An experimental API for Extreme Learning machines Neural Networks made with TensorFlow.