212 skills found · Page 1 of 8
crflynn / StochasticGenerate realizations of stochastic processes in python.
quantgirluk / Aleatory📦 Python library for Stochastic Processes Simulation and Visualisation
SURGroup / UQpyUQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
openturns / OpenturnsProbabilistic modelling and uncertainty quantification library
simeonradivoev / ComputeStochasticReflectionsCompute Stochastic Screen Space Reflections for unity post processing
NathanEpstein / StochasticSimulation of common stochastic processes with native JavaScript
UCL-SML / Doubly Stochastic DGPDeep Gaussian Processes with Doubly Stochastic Variational Inference
rust-dd / Stochastic Rsstochastic-rs is a Rust library designed for high-performance simulation and analysis of stochastic processes and models in quant finance.
jason-ash / PyesgEconomic scenario generator for python: simulate stocks, interest rates, and other stochastic processes.
rosewang2008 / Language Modeling Via Stochastic ProcessesLanguage modeling via stochastic processes. Oral @ ICLR 2022.
CamDavidsonPilon / PyProcessGenerate stochastic processes using Python. Unfortunately not maintained any longer =(
mschauer / Bridge.jlA statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
SajadAHMAD1 / Chaotic GSA For Engineering Design ProblemsAll nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are now using chaotic maps. The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's gravity principle and laws of motion. It uses 10 chaotic maps for global search and fast convergence speed. Basically, in GSA gravitational constant (G) is utilized for adaptive learning of the agents. For increasing the learning speed of the agents, chaotic maps are added to gravitational constant. The practical applicability of CGSA has been accessed through by applying it to nine Mechanical and Civil engineering design problems which include Welded Beam Design (WBD), Compression Spring Design (CSD), Pressure Vessel Design (PVD), Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss (TBT), Stepped Cantilever Beam design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with seven state of the art stochastic algorithms particularly Constriction Coefficient based Particle Swarm Optimization and Gravitational Search Algorithm (CPSOGSA), Standard Gravitational Search Algorithm (GSA), Classical Particle Swarm Optimization (PSO), Biogeography Based Optimization (BBO), Continuous Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). The experimental results indicate that CGSA shows efficient performance as compared to other seven participating algorithms.
TommasoBelluzzo / PyDTMCA library for discrete-time Markov chains analysis.
LRydin / KramersMoyalkramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
Eric-Bradford / SDD GP MPCThis repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Z-Zheng / ChangenScalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process (ICCV 2023)
732jhy / Fractional Brownian MotionPython implementation of fractional brownian motion
SciML / DiffEqNoiseProcess.jlA library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
Lynn0306 / DVS VoltmeterECCV2022 'DVS-Voltmeter: Stochastic Process-based Event Simulator for Dynamic Vision Sensors'
