igel
gutenberg
Our great sponsors
igel | gutenberg | |
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11 | 106 | |
3,080 | 12,673 | |
- | 1.9% | |
1.1 | 8.3 | |
about 1 year ago | about 24 hours ago | |
Python | Rust | |
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.
igel
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Train/fit, test, and use models without writing code
Link to the repo: https://github.com/nidhaloff/igel
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Question about trending repositories on GitHub based on the spoken language?
So I have a project that made it to the GitHub trending list. The project is in English and the spoken language is set to English on my Profile/settings. However, I can only see the project in the trending list if I set the spoken language in the trending tab to "any". If I set it to English then my project is not listed anymore in the trending list. How can this be?
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I created a machine-learning tool for easy and fast prototyping
Igel is a machine learning tool that makes it very easy to prototype and create/experiment with ML models on the fly. Igel helps you automate many tasks from cleaning your dataset to evaluating the trained model and finally serve it by creating a REST server that is production-ready.
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Show HN: Machine learning automation from creating to using models in production
Thanks for the feedback! When I first started the project, it was not thought for production. Just for fast prototyping and experimenting with no efforts at all. However, users liked the tool and started requesting more features including support for serving models and eventually deploying (e.g this issue https://github.com/nidhaloff/igel/issues/62)
I agree with your point of vue. However, igel is fairly new and evolving fast. Using igel to serve trained model is a new feature that was implemented in the new release so igel has a long way to go in order to be a solid product for production use.It will surely get more mature with time.
Finally, notice that I didn't recommend running it in production. Just mentioned that it is possible and takes no efforts at all. However, if the user generated a trained model then anything can be done with it from there. Technically, the user can implement his/her own server and use the model as wanted. Obviously, users should do that if they want more control ;)
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[P] An experimental machine learning package for easy and fast prototyping
igel is a fairly new machine learning package that allows you to create ML prototypes on the fly. You can use igel from the terminal without writing any code or from python if you want to. I tried to keep the API simple enough and flexible as possible.
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New igel release: support for serving trained machine learning models using fastapi and uvicorn
Hi everyone, I wanted to share with you the new release/features of the igel machine learning package
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Ask HN: How to find sponsors for my open source projects?
I think that most companies that sponsor projects are companies that are using the projects. IIUC https://github.com/nidhaloff/igel is your most popular project. Who is using it?
Don't expect the companies to pay. You can not force them to pay. It's a project with a MIT license. (Perhaps this is obvious for you, but a few days ago someone posted a rant by another developer because some companies were using his MIT-license project and only making a $500 annual money contribution.)
I think one possibility is to write blog post about examples of using the project to solve interesting problems. It's important that they are interesting to get traction here and in other platforms. At the bottom, add a remake explaining that you are the main developer of the project and you'd like sponsors. (I can't guaranty that this will work.)
Also, this helps as an extended documentation of the project and to get more traffic from google and to get more users. All of that can help to increase the user base and hopefully find an sponsor. (I can't guaranty that this will work.)
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Sponsoring open source projects, share about your project
- igel: https://github.com/nidhaloff/igel a delightful tool that allows using ML without writing code. I'm also working on an even simpler cross-platform frontend for it written in electronjs (check it here https://github.com/nidhaloff/igel-ui)
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Ask HN: What are some tools / libraries you built yourself?
Last year I built deep-translator https://github.com/nidhaloff/deep-translator
I wanted a tool where multiple translators are integrated and where I can get translations from different sources but only using one tool. I then tried to build a cross platform mobile app using python (which is not the best language for this, I know) https://github.com/nidhaloff/Translator-pp
Probably the best project I built/started last year is the machine learning package igel: https://github.com/nidhaloff/igel
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Weekly Developer Roundup #16 - Sun Oct 04 2020
Show HN: Igel – A CLI tool to run machine learning without writing code: https://github.com/nidhaloff/igel
gutenberg
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Replatforming from Gatsby to Zola!
So after shopping around a bit I found a simple, dependency-less static site generator called Zola. The lack of dependencies sounded very attractive after all the headaches trying to update my Gatsby modules. I wanted to give Zola a try and see what tradeoffs I would need to make coming form a React-based framework to this Rust-based generator.
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Ask HN: What's the simplest static website generator?
I think you're thinking about Zola: https://github.com/getzola/zola
But yes, if I were to recommend something, it'd be Zola given that there's just one executable that you need to run and there's absolutely no setup required.
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Ask HN: Looking for lightweight personal blogging platform
If I were to start again from scratch, I'd likely use Zola as SSG (https://www.getzola.org/)
- Zola – Single binary static site generator
- Zola
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Ask HN: So, static website generators and hosting in 2023/24. What's out there?
I've used Zola (https://github.com/getzola/zola) for a static project homepage a few years ago to showcase examples with a simple description and a wasm app embedded in the page, it worked perfectly for me and the docs was clear on how to use it. It was very easy to set up along with a GitHub action to automatically update the wasm binaries when needed. It is definitely a tool I keep in my mental toolbox as a good default.
- Zola: Your one-stop static site engine
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Gojekyll – 20x faster Go port of jekyll
I'm currently learning https://www.getzola.org/.
It's more manual than idy like but it's gonna be for a small personal and work website so I don't mind much.
It's super fast.
Doesn't seem to fit your use casr but still.
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The right way to build a dynamic personal website for a physics student?
(Note: that list is overwhelming; you don't need to go through it. Order by popularity and look at the top 3-5 at most. Hugo, Jekyll, Gatsby... Personally I'm using Zola [ https://www.getzola.org/ ] for a couple of sites, but that's just me.)
What are some alternatives?
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
Hugo - The world’s fastest framework for building websites.
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
eleventy 🕚⚡️ - A simpler site generator. Transforms a directory of templates (of varying types) into HTML.
VulnerableApp - OWASP VulnerableApp Project: For Security Enthusiasts by Security Enthusiasts.
Nikola - A static website and blog generator
profanity - Ncurses based XMPP client
Rocket - A web framework for Rust.
nnAudio - Audio processing by using pytorch 1D convolution network
Sapper - A lightweight web framework built on hyper, implemented in Rust language.
deep-translator - A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
hakyll - A static website compiler library in Haskell