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It is an open source scientific library that is focused on multi-agent simulations on graphs. It prepares basic toolkit for agents, models, timers, graphs, nodes and edges. It is also accompanied with tools for data processing.
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochasticprocesses, allowing for flexible function approximation with uncertainty estimation. ...
Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes.
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Java library for Monte Carlo simulation, stochasticprocesses, finance. Classes define the basic mathematical notions to ease transition from theory to application.
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...It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochasticprocesses.
KStochastic gives the user the ability to create pictures of stochasticprocesses based on arbitrary probability distributions. Those pictures can then be used for illustration purposes in various publications treating random phenomena.