river
wayfire
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river | wayfire | |
---|---|---|
17 | 77 | |
4,754 | 2,232 | |
2.3% | 3.0% | |
9.2 | 9.6 | |
4 days ago | about 5 hours ago | |
Python | C++ | |
BSD 3-clause "New" or "Revised" 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.
river
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🔍Underrated Open Source Projects You Should Know About 🧠
River is a Python library for online machine learning. Online machine learning can dynamically adapt to new patterns in the data, or when the data itself is generated as a function of time, e.g., stock price prediction, content personalization.
- Ask HN: What Underrated Open Source Project Deserves More Recognition?
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Unexpected Expected Thriller: A Tale of Coding Curiosity
Today, I'm going to take you on a thrilling coding adventure inspired by a LinkedIn code snippet, where I tangled with FastAPI, River, Watchdog, and Tenacity. Ready? Buckle up!
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Elevate Your Python Skills: Machine Learning Packages That Transformed My Journey as ML Engineer
Complimentary: river and skorch
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What are your favorite tools or components in the Kafka ecosystem?
River - https://github.com/online-ml/river (Online machine learning, best used with Bytewax for Kafka integration)
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Show HN: Want something better than k-means? Try BanditPAM
Hey, great work. Do you think this algorithm would be amenable to be done online? I'm the author of River (https://riverml.xyz) where we're looking for good online clustering algorithms.
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Python's “Disappointing” Superpowers
If you don't know Rust, but know Python, you can install Python libraries written in Rust with pip. Like, pip install polars or pip install robyn. In this case you follow the two bottom links. But then you don't write your own libraries and stuff so.. I guess that's not what you want.
But, if you want to learn Rust, you probably wouldn't start out with pyo3. You first install Rust with https://rustup.rs/ and then check out the official book, and the book rust by example, that you can find here https://www.rust-lang.org/learn - and maybe write some code on the Rust playground https://play.rust-lang.org/ - then, you use pyo3 to build Python libraries in Rust, and then use maturin https://www.maturin.rs/ to build and publish them to Pypi.
But if you still prefer to begin with Rust by writing Python libraries (it's a valid strategy if you are very comfortable with working with multiple stacks), the Maturin link has a tutorial that setups a program that is half written in python, half written in Rust, https://www.maturin.rs/tutorial.html (well the pyo3 link I sent also has one too. You should refer to the documentation of both, because you will use the two together)
After learning Rust, the next step is looking for libraries that you could leverage to make Python programs ultra fast. Here https://github.com/rayon-rs/rayon is an obvious choice, see some examples from the Rust cookbook https://rust-lang-nursery.github.io/rust-cookbook/concurrenc... - when you create a parallel iterator, it will distribute the processing to many threads (by default, one per core). The rust cookbook, by the way, is a nice reference to see the most used crates (Rust libraries) in the Rust ecosystem.
Anyway there are some posts about pyo3 on the web, like this blog post https://boring-guy.sh/posts/river-rust/ (note: it uses an outdated version of pyo3, and doesn't seem to use maturin which is a newer tool). This post was written by the developers of https://github.com/online-ml/river - another Python library written in Rust
- [D] Is it possible to update random forest parameters with new data instead of retraining on all data?
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If ChatGPT that could browse to the internet, what would you ask it to do?
Oh they definitely can be incrementally updated, there is just added complexity. Online learning has been used with more classical machine learning methods in real-time analytics for a while now. River is a library that handles that.
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[D] Good online learning-to-rank models
We have both bandits and FTRL implemented in River (https://riverml.xyz) if that helps.
wayfire
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Cosmic Desktop: Hammering Out New Cosmic Features
Unusable until moving your mouse to the edges of the screen and clicking makes it hit the scrollbar, or the exit button. Right now it initiates a resize.
Illustrated example from a different compositor https://github.com/WayfireWM/wayfire/issues/570
It's the only DE I'm excited about it so I hope they fix that. Very very promising and the best part is that it made the GNOME people mad.
GNOME: "Sorry I don't see the use case for that, PR closed. Make your own project. "
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Wayfire (a Wayland compositor) 0.8.0 announcement
One of the developers just responded on the github issue referecing this thread.
"After a bit of discussion on HackerNews, I got a bit better understanding of the actual problem. People don't want to just configure the keys according to a particular layout - the actual 'issue' here is that they expect the key binding changes together with the layout. Unfortunately, the 0.8.0 changes didn't make this possible to implement as a plugin.
I would reconsider adding this as an option if there are enough interested people. React with a thumbs up to this comment if you are interested in having this option (though the defaults will certainly remain as they are now). Please, react only if you actually use Wayfire or would use it if it had this feature :)"
https://github.com/WayfireWM/wayfire/issues/1601#issuecommen...
- I'm ending the WM/DE discussion... PERMANENTLY!!!!!!!!!!!!!!!!!!!!!!!
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Is wayland still bad with Nvidia?
I have been on Wayfire for over a year now, and I can't possibly praise it enough. It's entirely modular, so you can make it look and behave exactly as you want. It does tiling, it does Compiz-style wobbly windows and 3D desktop cubes, configurable rules and hotkeys, everything. It's stable and handles gaming flawlessly.
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Do we finally switch to Wayland or not?
Your impression of Wayland is going to be very much determined by the quality of the compositor implementing it, and I've found Wayfire to be the best, by far - but oddly, also the one least talked about. Everybody's paying attention to stuff like Hyprland, Sway and Mutter - you're barking up the wrong tree there. Wayfire is fantastic, has most of the bells and whistles Compiz on X11 has, and is as pretty or as functional as you want it to be.
- Guide to setup Wayfire on Artix?
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Which technology / protocol etc. is the next big thing, coming the next few years in Linux gaming?
- VR support
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BGFX problem
I thought so too not long ago, but Wayland compositors needed some time to mature, and some of them are getting pretty damn good. Ever since I discovered Wayfire I'm a total believer, it's better than any X window management solution I've used. Much lighter too.
- Show HN: Parallax wallpaper engine for Linux and Windows
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Swayfire and Wayfire news
might be a small window when wayfire releases a version, before master identfies as the next release number. (see: https://github.com/WayfireWM/wayfire/blob/master/meson.build )
What are some alternatives?
alibi-detect - Algorithms for outlier, adversarial and drift detection
sway - i3-compatible Wayland compositor
python-tidal - Python API for TIDAL music streaming service
Hyprland - Hyprland is a highly customizable dynamic tiling Wayland compositor that doesn't sacrifice on its looks.
PySyft - Perform data science on data that remains in someone else's server
river - [mirror] A dynamic tiling Wayland compositor
edl - Inofficial Qualcomm Firehose / Sahara / Streaming / Diag Tools :)
manjaro-sway - manjaro linux with wayland 🖼, sway 🌴 and a lot of ♥
makinage - Stream Processing Made Easy
polybar - A fast and easy-to-use status bar
frameworks - Sample code and build environments for MPC frameworks
dwl - dwm for Wayland - ARCHIVE: development has moved to Codeberg