tensorflow_macos
Scoop
tensorflow_macos | Scoop | |
---|---|---|
33 | 252 | |
2,887 | 19,883 | |
- | 1.2% | |
3.4 | 8.7 | |
almost 3 years ago | 4 days ago | |
Shell | PowerShell | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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_macos
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Updated Apple Silicon Guide for M2 Pro and M2 Max Chips
https://github.com/apple/tensorflow_macos is no longer needed
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The hunt for the M1’s neural engine
Tensorflow has a CoreML enabled version which run on ANE.
https://github.com/apple/tensorflow_macos
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M1 Mac users
Apple released a guide on how to use the M1's integrated Neural Chip in TensorFlow. Have a look at this Apple documentation page (and maybe also this GitHub that talks about TensorFlow together with Apple's own ML Compute platform).
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MacBook Air or Wait for new potential MacBook Air with M2
Tensorflow does work on Apple Silicon
- Kernels dying when using tensorflow in Jupyter Notebooks.
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Main PyTorch maintainer confirms that work is being done to support Apple Silicon GPU acceleration for the popular machine learning framework.
Apple did some work to optimize tensorflow for M1, can be found here https://github.com/apple/tensorflow_macos It's alpha, but works fine, I tried it
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The M1 Max is the fastest GPU we have ever measured in Affinity Photo benchmark
https://github.com/apple/tensorflow_macos/issues/25
https://forums.macrumors.com/threads/apple-silicon-deep-lear...
It is expected that the M1 Max should have similar performance to a RTX-2080 or Titan X.
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MacBook Pro M1 Pro benchmark
In case anyone is interested, in ran a fairly simple MNIST benchmark (proposed here : https://github.com/apple/tensorflow_macos/issues/25) on my recently acquired M1 Pro MBP (16-core GPU, 16GB RAM).
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Error while installing tensorflow on Mac M1
The only method I know of to download tensorflow on M1 macs is the one documented here: https://github.com/apple/tensorflow_macos
- How exactly does the Neural Engine benefit the consumer?
Scoop
- Scoop. A command line installer for windows
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Scoop VS craft - a user suggested alternative
2 projects | 4 Apr 2024
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Managing python projects like a pro!
Scoop is a command-line installer for Windows, aimed at making it easier for users to manage software installations and maintain a clean system. It's designed with developers and power users in mind but can be beneficial for any Windows user looking for an efficient way to manage software. Basically it makes our life easier when it comes to software installation of any sort. Scoop support installation for large number of software. Check it out here Scoop.
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bruhJustLemmeDownloadTheSdk
Use a package manager! Assuming Windows (since it's the odd one out), get yourself some scoop then just scoop install openjdk. No need to navigate to a website, download bundleware, click next-next-next and accidentally install a virus like some caveman from 1997. This has been a solved problem since ancient times!
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How easy is it to setup Neovim and Nvchad on windows?
Should be easy enough, I installed neovim on my windows machine with scoop (you can even get nightly if you want), it's basically a one line install. You can also do a manual install if you want, but you don't have to. It took a little fiddling for me because I wanted to install scoop as well as all applications onto my D drive rather than my C drive, but nothing too crazy. I never got NvChad on my windows machine, but I do have it on linux, and siduck (the creator of nvchad) has given good instructions for installing even on windows, so i don't think it should be a problem. Also, there's a discord for nvchad, and siduck is pretty active on there if you want to ask questions. Good luck!
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Calibre – New in Calibre 7.0
I update it with Brew on macOS and Scoop [1] on Windows (but I guess it is included in other package managers such as chocolatey).
Of course, a built-in auto-updater would be good, but a packaged version is a nice workaround for me.
[1]: https://scoop.sh/
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Installing Scoop for all users
So I tried installing scoop the "normal" way for both users then ran scoop install {app} --global as per https://github.com/ScoopInstaller/Scoop/wiki/Global-Installs and got:Cannot find path 'C:\ProgramData\scoop\buckets' because it does not exist
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How to secure JavaScript applications right from the CLI
There are a number of ways that you can install the Snyk CLI on your machine, ranging from using the available stand-alone executables to using package managers such as Homebrew for macOS and Scoop for Windows.
- Scoop: A command-line installer for Windows
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Using Scoop to Create a Portable Toolkit
Scoop provides a wonderful foundation for creating a portable developer's toolkit on Windows systems.
What are some alternatives?
miniforge - A conda-forge distribution.
Chocolatey - Chocolatey - the package manager for Windows
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
winget-cli - WinGet is the Windows Package Manager. This project includes a CLI (Command Line Interface), PowerShell modules, and a COM (Component Object Model) API (Application Programming Interface).
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
Shovel-Ash258 - Personal Shovel bucket with a wide variety of applications of all kinds.
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
WSL - Issues found on WSL
flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
Visual Studio Code - Visual Studio Code
Python-docker - Docker Official Image packaging for Python
HomeBrew - 🍺 The missing package manager for macOS (or Linux)