hummingbird
PowerToys
hummingbird | PowerToys | |
---|---|---|
9 | 713 | |
3,304 | 104,500 | |
0.5% | 1.1% | |
7.1 | 9.8 | |
17 days ago | 6 days ago | |
Python | C# | |
MIT License | MIT License |
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.
hummingbird
- Treebomination: Convert a scikit-learn decision tree into a Keras model
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[D] GPU-enabled scikit-learn
If are interested in just predictions you can try Hummingbird. It is part of the PyTorch ecosystem. We get already trained scikit-learn models and translate them into PyTorch models. From them you can run your model on any hardware support by PyTorch, export it into TVM, ONNX, etc. Performance on hardware acceleration is quite good (orders of magnitude better than scikit-learn is some cases)
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Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book
I think Rapids AI's cuML tried to go into this direction (essentially scikit-learn on the GPU): https://docs.rapids.ai/api/cuml/stable/api.html#logistic-reg.... For some reason it never took really off though.
Btw., going on a tangent, you might like Hummingbird (https://github.com/microsoft/hummingbird). It allows you trained scikit-learn tree-based models to PyTorch. I watched the SciPy talk last year, and it's a super smart & elegant idea.
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Export and run models with ONNX
ONNX opens an avenue for direct inference using a number of languages and platforms. For example, a model could be run directly on Android to limit data sent to a third party service. ONNX is an exciting development with a lot of promise. Microsoft has also released Hummingbird which enables exporting traditional models (sklearn, decision trees, logistical regression..) to ONNX.
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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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[D] Here are 3 ways to Speed Up Scikit-Learn - Any suggestions?
For inference, you can convert your models to other formats that support GPU acceleration. See Hummingbird https://github.com/microsoft/hummingbird
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[D] Microsoft library, Hummingbird, compiles trained ML models into tensor computation for faster inference.
The surprising thing is that Hummingbird can be faster than the GPU implementation of LightGBM (and XGBoost) if you use tensor compilers such as TVM. [The paper](https://www.usenix.org/conference/osdi20/presentation/nakandala) describes our findings. We have also open sourced the [benchmark code](https://github.com/microsoft/hummingbird/tree/main/benchmarks) so you try yourself!
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I learned about Microsoft's Hummingbird library today. 1000x performance??
I took their sample code from Github and tweaked it to spit out times for each model's prediction, as well as increase the number of rows to 5 million. I used Google's Colab and selected GPU for my hardware accelerator. This gives an option to run code on GPU, not that all computations will happen on the GPU.
PowerToys
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Unlock Web Dev Superpowers with PowerToys
Windows PowerToys GitHub Repo
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We released a new powerful efficiency tool called RunFlow, which is similar to PowerToys and Alfred, welcome to try it
RunFlow is a cross-platform productivity tool which can launch apps and search files and more, that similar to Wox and PowerToys on Windows, and also similar like Alfred and Raycast on macOS. But we have differences with these tools, and we have our own unique new features. Right now, at the below, we will introduce you what features of RunFlow have been implemented in more details. It's an amazing journey, let's start.
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GTK: On fractional scales, fonts and hinting
I'm curious - when you were doing research into the mechanics of hinting options, did you stumble onto any relevant discussion around allowing custom pixel geometries to be defined, to enable hinting on modern OLED / WRBG displays? There's a good thread on the topic here[0], with some people referring to it as 'ClearType 2' on the MS side [1]. On the oss side I know FreeType theoretically supports this[2], but I can't quite figure out how relevant the FreeType backend is to this most recent work.
This is great work btw.
[0]: https://github.com/snowie2000/mactype/issues/932
[1]: https://github.com/microsoft/PowerToys/issues/25595
[2]: https://freetype.org/freetype2/docs/reference/ft2-lcd_render...
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Ask HN: Cleanest way to manage Windows OS?
Thank you all for the informative advices. Here is the summary for those who are in the same situation:
1. Run Windows on Linux by using VM
for the applications you can’t run on Linux
Risks:
* some softwares may attempt to detect VMs and refuse running
* Anything what needs to touch hardware may not work.
2. separate "data" partition on D:
3. back up %APPDATA% and %USERPROFILE%
4. learn chocolatey, scoop or winget
Winget should be good enough
5. Don’t worry about C:\Program Files
6. (Mixed) Use/Don’t use Ansible (or saltstack/salt)
Use:
* Allows you to setup a new machine quickly and consistently when one breaks, get stolen, or lost in an inconvenient time.
* You can get a clean and consistent development environment so that you do not depend on anything accidentally installed on the machine.
* If you define specialised roles, create test playbooks for those individual roles, use these roles to compose more complex playbooks, and offload logic to custom ansible modules that are written in python, you won't wrestle with heavy logic in the template or playbook layer.
* installing software and pulling some configs and scripts down is fine
Don’t use:
* You will spend your days fighting a mix of yaml and Jinja.
* You will end up looking at Python errors because there are no static types.
* errors are cryptic.
7. Use WSL2
You need 32gb of ram, but ram is cheap so choose a good thinkpad
8. Debloat with Recommended Tweaks
Run
irm christitus.com/win | iex
from Administrator Terminal (Powershell)
The link leads to https://raw.githubusercontent.com/ChrisTitusTech/winutil/mai...
VirusTotal
https://www.virustotal.com/gui/file/709834b0e003b6bb546cf16e...
9. Get [PowerToys](https://github.com/microsoft/PowerToys)
10. Use Devbox for containered environment
https://www.jetpack.io/devbox
11. Dual-Booting Linux and Windows
If you use physically separated drives, you don’t need partitioning.
12. Dedicated Windows machine for class
Yes it sure would be the cleanest solution but I prefer one device for everything
13. keep a git repository with all dot files in it
Many people suggested me to use virtualization, otherwise just let Windows be Windows.
Also, backing up seems to be a good practice.
I’m planning to write a blog about this, if it worked.
Again, thank you all for the helps!
- Ask HN: Best Hacks for a Ultrawide Monitor?
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Keypirinha: A fast launcher for keyboard ninjas on Windows
Powertoys Run (https://github.com/microsoft/powertoys) can do this. There are not that many plugins as Alfred but Window Switcher is built-in.
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LAN Mouse is a mouse and keyboard sharing software
For sharing a mouse/keyboard between Windows PCs, there is Mouse Without Borders. It's included in PowerToys nowadays.
https://github.com/microsoft/PowerToys
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Hrvach/Deskhop: Fast Desktop Switching Device
- https://github.com/microsoft/PowerToys
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How do I type letters with accent marks?
If you’re on Windows, download PowerToys. It’s an app published by Microsoft officially. Then enable Quick Accent in the settings of PowerToys. Now all you have to do is hold down the key you want accented until the switch shows up, then add an accent with your arrow keys.
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Microsoft's Powertoys Key Manager now can paste text and unicode by shortcuts
microsoft/PowerToys: Windows system utilities to maximize productivity (github.com)
What are some alternatives?
onnx - Open standard for machine learning interoperability
Wox - A cross-platform launcher that simply works
swift - The Swift Programming Language
AutoHotkey - AutoHotkey - macro-creation and automation-oriented scripting utility for Windows.
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
sharpkeys - SharpKeys is a utility that manages a Registry key that allows Windows to remap one key to any other key.
cuml - cuML - RAPIDS Machine Learning Library
Flow.Launcher - :mag: Quick file search & app launcher for Windows with community-made plugins
docker - Docker - the open-source application container engine
Fluent-Search - Official repository for Fluent Search, use to report issues or ask for a new feature
chemprop - Message Passing Neural Networks for Molecule Property Prediction
T-Clock - Highly configurable Windows taskbar clock