TensorFlow.jl
A Julia wrapper for TensorFlow (by malmaud)
Metal.jl
Metal programming in Julia (by JuliaGPU)
| TensorFlow.jl | Metal.jl | |
|---|---|---|
| 1 | 1 | |
| 879 | 328 | |
| - | 1.5% | |
| 0.0 | 8.9 | |
| almost 3 years ago | 6 days ago | |
| Julia | Julia | |
| GNU General Public License v3.0 or later | MIT License |
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.
TensorFlow.jl
Posts with mentions or reviews of TensorFlow.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-16.
-
Flux vs. TensorFlow
My understanding is that Tensorflow.jl does not wrap the Python library, but the underlying C implementation. So it was an alternative to the Python version, not just a wrapper of it, and this gave it some advantages: https://github.com/malmaud/TensorFlow.jl/blob/master/docs/src/why_julia.md
Metal.jl
Posts with mentions or reviews of Metal.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-27.
-
What Apple hardware do I need for CUDA-based deep learning tasks?
If you are really committed to running on Apple hardware then take a look at Tensorflow for macOS. Another option is the Julia programming language which has very basic Metal support at a CUDA-like level. FluxML would be the ML framework in Julia. Iām not sure either option will be painless or let you do everything you could do with a Nvidia GPU.
What are some alternatives?
When comparing TensorFlow.jl and Metal.jl you can also consider the following projects:
Zygote.jl - 21st century AD
Oceananigans.jl - š Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
julia - The Julia Programming Language
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
FastAI.jl - Repository of best practices for deep learning in Julia, inspired by fastai
ClimateMachine.jl - Climate Machine: an Earth System Model that automatically learns from data
Vulkan.jl - Using Vulkan from Julia
CUDA.jl - CUDA programming in Julia.
FiniteDiff.jl - Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
MLJ.jl - A Julia machine learning framework
Makie.jl - Interactive data visualizations and plotting in Julia