Yötä
Yota.jl is a package for reverse-mode automatic differentiation in Julia. The main features are:
- optimized for large inputs and convenional deep learning
- tracer-based with a hackable computational graph (tape)
- supports ChainRules API
dfdx / Yota.jl
Licence: MIT License
Reverse-mode automatic differentiation in Julia
Stars: ✭ 113
Programming Languages
julia
2034 projects
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