muriloapp's Stars
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
zshicode/Deep-Learning-Based-State-Estimation
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
DanielBok/copulae
Multivariate data modelling with Copulas in Python
ambropo/VAR-Toolbox
Ambrogio Cesa-Bianchi's VAR Toolbox
yangycpku/macro_ML
Course Website on Macroeconomic Analysis with Machine Learning and Big Data
maximenc/pycop
Python library for multivariate dependence modeling with Copulas
bottama/Dynamic-Derivatives-Portfolio-Hedging
Algorithmic Portfolio Hedging. Black-Scholes Pricing for Dynamic Hedges to produce a Dynamic multi-asset Portfolio Hedging with the usage of Options contracts.
LeopoldoCatania/GAS
GAS models
vruetten/GPFADS
Gaussian Process Factor Analysis with Dynamical Structure
rasmusbergpalm/pytorch-lgssm
A Linear Gaussian State Space Model (LGSSM) for pytorch, also known as a Linear Dynamical System (LDS)
cran/copula
:exclamation: This is a read-only mirror of the CRAN R package repository. copula — Multivariate Dependence with Copulas. Homepage: https://copula.r-forge.r-project.org/, https://r-forge.r-project.org/projects/copula/, https://CRAN.r-project.org/package=copula Report bugs for this package: https://r-forge.r-project.o ...
ptandeo/CEDA
¡CEDA! is a Python library for the Covariance Estimation in Data Assimilation.
modestbayes/LFGP_NeurIPS
Modeling dynamic functional connectivity with latent factor Gaussian processes
FabianKaechele/Copula-Covariance-Estimation
This repository contains the Python-Code for the paper: ****************