PyCallChainRules.jl
threads
PyCallChainRules.jl | threads | |
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1 | 1 | |
56 | 249 | |
- | 0.0% | |
10.0 | 10.0 | |
almost 2 years ago | about 7 years ago | |
Julia | Lua | |
MIT License | GNU General Public License v3.0 or later |
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PyCallChainRules.jl
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Julia 1.10 Released
> Can I use PyTorch or JAX comfortably in Julia?
There is https://github.com/rejuvyesh/PyCallChainRules.jl which makes this possible. But using some of the native Julia ML libraries that others have mentioned is preferable.
threads
What are some alternatives?
Torch.jl - Sensible extensions for exposing torch in Julia.
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
Lux.jl - Explicitly Parameterized Neural Networks in Julia
erfa - Essential Routines for Fundamental Astronomy. Maintainers: @eteq @mhvk @sergiopasra
oorb - An open-source orbit-computation package for Solar System objects.
LibTIFF.jl - Clang.jl generated wrapper around Libtiff_jll.jl
assist - ASSIST is a software package for ephemeris-quality integrations of test particles.
Clang.jl - C binding generator and Julia interface to libclang