coremltools
GmsCore
coremltools | GmsCore | |
---|---|---|
11 | 429 | |
4,063 | 7,043 | |
1.3% | 5.4% | |
8.7 | 9.5 | |
10 days ago | 1 day ago | |
Python | Java | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
coremltools
- CoreML commit from Apple mentions iOS17 exclusive features
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Lisa Su Saved AMD. Now She Wants Nvidia's AI Crown
Instead of trying to integrate the whole stack of, say, pytorch, Apple's primary approach has been converting models to work with Apple's stack.
https://github.com/apple/coremltools
Clearly no one is going to be doing training or even fine tuning on Apple hardware at any scale (it competes at the low end, but at scale you invariably will be using nvidia hardware), but once you have a decent model it's a robust way of using it on Apple devices.
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Stable Diffusion for M1 iPad
There is one guy who was able to run it on iOS. See this thread for more information. Basically, the idea is to convert torch models to CoreMl. Only the CLIP tokenizer's implementation is currently missing. I guess this guy will keep modifications private, but he is trying to optimize model for lower RAM requirements.
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MacBook Pro 14” M1 Pro (worth buying for programming)
Afaik (correct me if I’m wrong) both PyTorch and tensorflow only use the gpu when training and not the neural engine. I think the neural engines can be used for inference if the model is in the CoreML format (https://github.com/apple/coremltools)
- Is it possible to convert a yolov5 model to a CoreML/.mlmodel to work in an IOS app?
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ML model conversion
CoreML Tools
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Supreme Court, in a 6–2 ruling in Google v. Oracle, concludes that Google’s use of Java API was a fair use of that material
And Python.
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Apple’s New M1 Chip is a Machine Learning Beast
There's literally an Apple provided tool, called [coremltools[(https://github.com/apple/coremltools) to convert many common PyTorch and TensorFlow models to CoreML.
GmsCore
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LineageOS is currently installed on 1.5M Android devices
Is anyone here daily-driving microg and can share their experiences? https://github.com/microg/GmsCore/wiki/Implementation-Status does not exactly inspire confidence.
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Google Update Reveals AI Will Read All Your Private Messages
...will need to be rewritten to avoid Google Play Services.
Not true.
All that needs to happen is for open source developers to "re-implement Google’s proprietary Android user space apps and libraries".
https://microg.org/
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A closer look at e/OS: Murena's privacy-first 'deGoogled' Android alternative
microG itself connects directly to Google: https://github.com/microg/GmsCore/wiki/Google-Network-Connec...
No shit, of course they do.
>In general, we obviously try to minimize the connections to Google, but some services strictly rely on them and would just not work without.
What exactly do you think they should do instead?
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I need a help
MicroG
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Plans to update to 0.3 in microg's lineage builds?
In release notes for GmsCore v0.2.29.233013 (https://github.com/microg/GmsCore/releases/tag/v0.2.29.233013), I also see:
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[Help] Is there a module I can install that enables push notifications on a device without google services?
Yes, the Xposed module is one way. There are also other ways
- Firefox for Android is adding support for 400 add-ons
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Which MicroG fork and version should I use?
Which one should I use? Is this MicroG's official website right? (https://microg.org/)
- New version out 0.30
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Use ChatGPT Android app w/o Google Play Store installed/enabled
Have a look into https://microg.org/ . Revanced yt uses a fork of GmsCore for its non-root install, though you still have to log in with a google account.
What are some alternatives?
RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
MinMicroG - Sources and scripts for MinMicroG installers. You shall find no prebuilt releases here.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
FakeGApps - A better approach for microg
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
openauto - AndroidAuto headunit emulator
3d-model-convert-to-gltf - Convert 3d model (STL/IGES/STEP/OBJ/FBX) to gltf and compression
UnifiedNlp - Alternative network location provider for Android, with plugin interface to easily integrate third-party location providers.
MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
opengapps - The main repository of the Open GApps Project
password-manager-resources - A place for creators and users of password managers to collaborate on resources to make password management better.
anbox - Anbox is a container-based approach to boot a full Android system on a regular GNU/Linux system