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juliahub.com : HighDimPDE
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
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purl: pkg:julia/HighDimPDE
Keywords: neural-networks, differential-equations, scientific-machine-learning, sciml, julia, deep-learning, deepbsde, feynman-kac, machine-learning, pde, pde-solver
License: MIT
Latest release: over 1 year ago
First release: almost 2 years ago
Stars: 65 on GitHub
Forks: 10 on GitHub
Total Commits: 414
Committers: 13
Average commits per author: 31.846
Development Distribution Score (DDS): 0.394
More commit stats: commits.ecosyste.ms
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Funding links: https://github.com/sponsors/SciML
Last synced: about 1 hour ago