R package for statistical inference using partially observed Markov processes
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Updated
Jun 2, 2024 - R
R package for statistical inference using partially observed Markov processes
A software package for flexible HPC GPs
This repository contains work for Stefano's first thesis chapter, which estimates how mean resources and the variace around them affect animals' spatial needs.
Python module for (symbolic) evaluation of the short-time Fokker-Planck propagator to arbitrary accuracy
Probabilistic generation of hazard-consistent suites of fully non-stationary seismic records
Rust library for quantitative finance.
Some python,matlab and linux codes for stochastic slips and tsunami generation
Gaussian processes in TensorFlow
R code for finding realizations (samples) of Stochastic Processes
Python framework for short-term ensemble prediction systems.
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Tools for Stochastic Simulation using diffusion models (R).
📦 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.
NMA Computational Neuroscience course
Gaussian process explorations
A queueing package for GNU Octave
DVFS framework
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