DerivX Core Library
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Updated
Jul 4, 2024 - Python
DerivX Core Library
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
PPCAx: Stochastic dimensionality reduction with JAX-ecosystem
Stochastic simulation of cell populations proliferation
This repository is a storage for all the Python code written for my undergrad math modelling class
Official implementation of "Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval (CVPR 2024 Highlight)"
Missing earthquake data reconstruction in the space-time-magnitude domain
Python package for stochastic simulations
Stochastic first-passage time (FPT) simulations using importance sampling.
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
This repository includes the scripts to replicate the results of my WORKING paper entitled "A Machine Learning Approach to Detect Accounting Frauds".
This is a small project made for academic reasons, in which I model the expected profit of properties in Monopoly using two different approaches: stochasticaly, and statisticaly.
Numerically solve the Fokker-Planck equation in N dimensions
a system for creating stochastic images and video
Epidemics Models with General Distribution for Infectious Period
OSeMOSYS_PuLP: A Stochastic Modelling Framework for Long-Term Energy Systems Modeling
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