html-proofer
tensorflow_macos
| html-proofer | tensorflow_macos | |
|---|---|---|
| 3 | 33 | |
| 1,551 | 2,887 | |
| - | - | |
| 3.2 | 3.4 | |
| 9 days ago | almost 3 years ago | |
| Ruby | Shell | |
| MIT License | 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.
html-proofer
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Jekyll (GitHub Pages) but using Node for unit testing
Just because of Jekyll and a great tool html-proofer, we chose Ruby for all our local testing and some of our deployment tooling.
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Hey Rustaceans! Got an easy question? Ask here (16/2021)!
As this problem is not specific to Rust, I would use a general solution like html-proofer. If you're code is on github, you can use an Action job like this to check documentation links.
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Automate Simple Static Website Testing
Great. So now we know our JSON isn’t screwed up. We can make sure that all of the site HTML is well-formed as well. We’ll use a tool called htmlproofer which can check the integrity of the produced site. You can see everything it tests here on their repo. I run the command:
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?
HomeBrew - 🍺 The missing package manager for macOS (or Linux)
miniforge - A conda-forge distribution.
cargo-flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
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Rustup - The Rust toolchain installer
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
rust-analyzer - A Rust compiler front-end for IDEs
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
html-proofer-mailto_awesome - A custom html-proofer test that makes your mailto links awesome
flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
hashbrown - Rust port of Google's SwissTable hash map
Python-docker - Docker Official Image packaging for Python