📦 Python library for Stochastic Processes Simulation and Visualisation
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Updated
May 26, 2024 - Python
📦 Python library for Stochastic Processes Simulation and Visualisation
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
R package for statistical inference using partially observed Markov processes
Python framework for short-term ensemble prediction systems.
NMA Computational Neuroscience course
Tools for Stochastic Simulation using diffusion models (R).
Gaussian processes in TensorFlow
Rust library for quantitative finance.
Gaussian process explorations
A queueing package for GNU Octave
DVFS framework
This repository contains work for Stefano's first thesis chapter, which estimates how mean resources and the variace around them affect animals' spatial needs.
Replication of the research paper : "Discretization of continuous-time arbitrage strategies in financial markets with fBm""
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Suite of simulations of spatio-temporal early warning signals of stochastic and deterministic dynamical systems
Piecewise Deterministic Markov Processes in Julia
Will be a Gaussian Process library, aiming to cover regression, classification and latent space modelling.
Repository of 2 projects related to stochastic signals. First one focus on basics of signals. Second one focus on building a finite causal FIR Weiner Filter for noise cancellation.
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