[P] Stochastic Differentiable Programming: Unbiased Automatic Differentiation for Discrete Stochastic Programs (such as particle filters, agent-based models, and more!)

• StochasticAD.jl

  3 181 8.7 Julia

  Research package for automatic differentiation of programs containing discrete randomness.

Found relevant code at https://github.com/gaurav-arya/StochasticAD.jl + all code implementations here

• Agents.jl

  13 691 8.8 Julia

  Agent-based modeling framework in Julia

  

We mean the standard "agent based model" https://www.pnas.org/doi/10.1073/pnas.082080899, https://en.wikipedia.org/wiki/Agent-based_model . The kind of thing you'd use Agents.jl for. For example, look at agent-based infection models. In these kind of models you create many individuals (agents) with rules. Each agent moves around, but if one is standing near an agent that is infected, there's a probability of infecting the nearby agent. What is the average percentage of infected people at time t?

• InfluxDB

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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