This is stars and forks stats for /gaurav-arya/StochasticAD.jl repository. As of 04 May, 2024 this repository has 163 stars and 10 forks.
StochasticAD StochasticAD is an experimental, research package for automatic differentiation (AD) of stochastic programs. It implements AD algorithms for handling programs that can contain discrete randomness, based on the methodology developed in this NeurIPS 2022 paper. We're still working on docs and code cleanup! Installation The package can be installed with the Julia package manager: julia> using Pkg; julia> Pkg.add("StochasticAD"); Citation @inproceedings{arya2022automatic, author =...
StochasticAD StochasticAD is an experimental, research package for automatic differentiation (AD) of stochastic programs. It implements AD algorithms for handling programs that can contain discrete randomness, based on the methodology developed in this NeurIPS 2022 paper. We're still working on docs and code cleanup! Installation The package can be installed with the Julia package manager: julia> using Pkg; julia> Pkg.add("StochasticAD"); Citation @inproceedings{arya2022automatic, author =...
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