Opus-MT
linux
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Opus-MT | linux | |
---|---|---|
3 | 980 | |
527 | 170,074 | |
8.7% | - | |
4.8 | 10.0 | |
4 days ago | 7 days ago | |
Python | C | |
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.
Opus-MT
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“sync,corrected by elderman” issue in ML translation datasets spread on internet
- mention on GitHub repo of a translation model https://github.com/Helsinki-NLP/Opus-MT/issues/62
I'm curious to see if anyone else has interesting encounters with this
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How worried are you about AI taking over music?
Yes, most models these days, except the exceptionally large ones, are possible to train on a laptop. Of course it helps if your laptop has Nvidia CUDA GPU, but even if it doesn't you can rent an AWS 4 core/16GB GPU instance for 0.5 cents an hour. 24 hours of training time would be quite a lot for most models, unless you're trying to train a FB any to any language type model, but typically the big huge models are not the most interesting ones, and you can get very good results, and interesting models with substantially smaller sets of data. Opus MT models are only one language to one language, but they're about 300MB a model, and the quality rivals FB's models, and the speed is substantially faster. I don't have as many examples from the music space, as it's still a fairly under explored area, but Google has released Magenta which is a pretrained Tensorflow music model(actually a group of 3-4 models).
- Helsinki-NLP/Opus-MT: Open neural machine translation models and web services
linux
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Linus Torvalds adds arbitrary tabs to kernel code
These are a bit easier to see what's going on:
https://github.com/torvalds/linux/commit/d5cf50dafc9dd5faa1e...
https://github.com/torvalds/linux/blob/d5cf50dafc9dd5faa1e61...
Unfortunately Github doesn't have a way to render symbols for whitespace, but you can tell by selecting the spaces that the previous version had leading tabs. Linus changed it so that the tokens `default` and the number e.g. `12` are also separated by a tab. This is tricky, because the token "default" is seven characters, it will always give this added tab a width of 1 char which makes it always layout the same as if it were a space no matter if you use tab widths of 1, 2, 4, or 8.
- Show HN: Running TempleOS in user space without virtualization
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PfSense Software Embraces Change: A Strategic Migration to the Linux Kernel
There was also a Gentoo effort to run atop FreeBSD[0]. The challenge of course is that afaik none of the BSD kernel ABIs are considered stable. The stable interface is the BSD libc. That said, with binfmt_misc, I don't see a reason you couldn't just run (at least some) FreeBSD binaries on Linux with a thin syscall translation layer (rather something like qemu-system) and then your layer hooked via binfmt_misc. I'm not aware of anyone who has done this for FreeBSD, but prior efforts existed as alternate binfmts for SysVr4/5 ELF binaries[2]. Either way would take some elbow grease, but you *might* even be able just reuse binfmt_elf and just have a new interpreter for FreeBSD elf.
[0] https://wiki.gentoo.org/wiki/Gentoo_FreeBSD
[1] https://docs.kernel.org/admin-guide/binfmt-misc.html
[2] https://github.com/torvalds/linux/blob/master/fs/binfmt_elf....
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Improvements to static analysis in GCC 14
> The original less-than check was deemed incorrect
It was only deemed incorrect because of an information leak. Not because it's a valid use-case for user space to copy smaller portions of *hwrpb into user space. https://github.com/torvalds/linux/commit/21c5977a836e399fc71...
- Linus Torvalds accepts a merge commit to the Linux kernel
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TinyMCE (also) moving from MIT to GPL
Correct. And the combined work needs to carry the MIT license text and copyright attributions for the MIT software authors. With binary distribution it must also be overt, not hidden in some source code drop, but directly accompanying the binary.
Many people who talk about relicensing never credit the MIT developers or distribute the MIT license text. "Because it's GPL now."
I don't think that you believe that, but many developers do.
Some don't see the need for source code scans for Open Source compliance, because the license.txt says GPL, so it's GPL. Prime example is the Linux kernel. There is code under different licenses in there, but people don't even read https://github.com/torvalds/linux/blob/master/COPYING till the end ("In addition, other licenses may also apply.") and conclude it's simply GPL 2 and nothing else.
Also be aware that sublicensing is not the same as relicensing.
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Linus Torvalds is looking for a more modern GUI editor
> Does he have something against it?
He notoriously hates GNU Emacs, yes.
https://marc.info/?m=122955159617722
https://github.com/torvalds/linux/blob/master/Documentation/...
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The Linux Kernel Prepares for Rust 1.77 Upgrade
So If we would only count code and not comments, it is only 9489 LoC Rust. Which would be about 0.03% and if we take all lines and not only LoC it would be around 0.05%
[0] https://github.com/XAMPPRocky/tokei
[1] https://github.com/torvalds/linux/commit/b401b621758e46812da...
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Proposed Windows NT sync driver brings big Wine/Proton performance improvements
AIUI fsync is built on futex_waitv which has been upstreamed. So this has to be more than that.
https://github.com/torvalds/linux/commit/a0eb2da92b715d0c97b...
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Tell HN: GitHub no longer readable without JavaScript
git clone --no-checkout --depth 1 https://github.com/torvalds/linux.git $dir
What are some alternatives?
OPUS-MT-train - Training open neural machine translation models
zen-kernel - Zen Patched Kernel Sources
OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch
DS4Windows - Like those other ds4tools, but sexier
fastText - Library for fast text representation and classification.
winapps - Run Windows apps such as Microsoft Office/Adobe in Linux (Ubuntu/Fedora) and GNOME/KDE as if they were a part of the native OS, including Nautilus integration.
Neural-Machine-Translated-communication-system - The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.
Open and cheap DIY IP-KVM based on Raspberry Pi - Open and inexpensive DIY IP-KVM based on Raspberry Pi
tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
serenity - The Serenity Operating System 🐞
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
DsHidMini - Virtual HID Mini-user-mode-driver for Sony DualShock 3 Controllers