GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management

Multivariate GARCH Models

A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting

Replication of key GARCH model papers

R, ARMA, ARIMA, GARCH

GARCH model implementation

ARIMA & GARCH models for stock price prediction

Estimating Value-at-Risk with a recurrent neural network (Jordan type) GARCH model

DCC GARCH modeling in Python

Mining graph streams using dictionary-based compression

Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.

Graph Unified Non-overhead Devisable Advanced Module

gspan algorithm (spmf library)

Python SPMF Wrapper 🐍 🎁

Data Mining Course Repository, 7th Semester 2023-24, IITD

GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of magnitudes. GraMi supports finding frequent subgraphs as well a…

This is a python implementation of the Gaston frequent subgraph mining algorithm.

PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)

A minimalistic framework for Numerical Association Rule Mining

Frequent Subgraph Mining and Graph Classification

Advanced Python visualization library for Association Rules

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.