Generate realizations of stochastic processes in python.
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Stochastic Adversarial Video Prediction
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
Numerically solve the Fokker-Planck equation in N dimensions
Official implementation of the paper Stochastic Latent Residual Video Prediction
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"
SLAMP: Stochastic Latent Appearance and Motion Prediction
Bayesian Deep Learning with Stochastic Gradient MCMC Methods
An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for backtesting
Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!
DerivX Core Library
Python package for stochastic simulations
Official project of DiverseSampling (ACMMM2022 Paper)
OSeMOSYS_PuLP: A Stochastic Modelling Framework for Long-Term Energy Systems Modeling
A JAX implementation of stochastic addition.
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