Opus-MT VS linux

Compare Opus-MT vs linux and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of Opus-MT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-03.
  • “sync,corrected by elderman” issue in ML translation datasets spread on internet
    1 project | news.ycombinator.com | 17 Mar 2023
    - 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

  • How worried are you about AI taking over music?
    13 projects | /r/WeAreTheMusicMakers | 3 Feb 2023
    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
    1 project | /r/techtravel | 30 Dec 2021

linux

Posts with mentions or reviews of linux. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-17.
  • Linus Torvalds adds arbitrary tabs to kernel code
    3 projects | news.ycombinator.com | 17 Apr 2024
    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
    3 projects | news.ycombinator.com | 11 Apr 2024
  • PfSense Software Embraces Change: A Strategic Migration to the Linux Kernel
    1 project | news.ycombinator.com | 4 Apr 2024
    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....

  • Improvements to static analysis in GCC 14
    1 project | news.ycombinator.com | 3 Apr 2024
    > 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
    2 projects | news.ycombinator.com | 1 Apr 2024
  • TinyMCE (also) moving from MIT to GPL
    3 projects | news.ycombinator.com | 27 Mar 2024
    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.

  • Linus Torvalds is looking for a more modern GUI editor
    1 project | news.ycombinator.com | 28 Feb 2024
    > 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/...

  • The Linux Kernel Prepares for Rust 1.77 Upgrade
    9 projects | news.ycombinator.com | 18 Feb 2024
    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...

  • Proposed Windows NT sync driver brings big Wine/Proton performance improvements
    2 projects | news.ycombinator.com | 25 Jan 2024
    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...

  • Tell HN: GitHub no longer readable without JavaScript
    2 projects | news.ycombinator.com | 24 Jan 2024
    git clone --no-checkout --depth 1 https://github.com/torvalds/linux.git $dir

What are some alternatives?

When comparing Opus-MT and linux you can also consider the following projects:

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