Cakebrew
tensorflow_macos
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| Cakebrew | tensorflow_macos | |
|---|---|---|
| 4 | 33 | |
| 4,751 | 2,887 | |
| - | - | |
| 0.0 | 3.4 | |
| 4 months ago | almost 3 years ago | |
| Objective-C | Shell | |
| GNU General Public License v3.0 only | 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.
Cakebrew
- Show HN: Brewer X, a native macOS client for Homebrew
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Homebrew
Cakebrew is the most convenient way to use Homebrew for your daily tasks! It does for Homebrew what Synaptics does to Linux package managers. From the Cakebrew UI, you can:
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Updated Apple Silicon Guide for M2 Pro and M2 Max Chips
https://github.com/brunophilipe/Cakebrew is deprecated
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[Question] Is there a package manager like Cydia, but with apps for the Mac?
Cakebrew is a GUI for the very popular Homebrew package manager. I personally use the Homebrew CLI, but Cakebrew seems very nice too if you don't want to use that.
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?
What are some alternatives?
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