PyCallChainRules.jl
Differentiate python calls from Julia (by rejuvyesh)
assist
ASSIST is a software package for ephemeris-quality integrations of test particles. (by matthewholman)
PyCallChainRules.jl | assist | |
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1 | 1 | |
56 | 19 | |
- | - | |
10.0 | 7.9 | |
almost 2 years ago | 21 days ago | |
Julia | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PyCallChainRules.jl
Posts with mentions or reviews of PyCallChainRules.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-27.
-
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.
assist
Posts with mentions or reviews of assist.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-27.
What are some alternatives?
When comparing PyCallChainRules.jl and assist you can also consider the following projects:
Torch.jl - Sensible extensions for exposing torch in Julia.
threads - Threads for Lua and LuaJIT. Transparent exchange of data between threads is allowed thanks to torch serialization.
erfa - Essential Routines for Fundamental Astronomy. Maintainers: @eteq @mhvk @sergiopasra
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
LibTIFF.jl - Clang.jl generated wrapper around Libtiff_jll.jl