igel
Nullboard
igel | Nullboard | |
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11 | 15 | |
3,080 | 2,484 | |
- | - | |
1.1 | 5.3 | |
about 1 year ago | 6 months ago | |
Python | HTML | |
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.
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
Nullboard
- Ask HN: What apps have you created for your own use?
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Show HN: Nbagent – simple Nullboard backup agent for Unix systems
Hello, HN! I'd like to introduce you to nbagent[0], an open-source alternative backup agent for Nullboard[1] for Unix systems. If you, like me, are a fan of Nullboard's simplicity and you've been looking for an easy way to have your data backed up, check it out.
I'd love to hear your feedback on nbagent. Please feel free to leave comments, suggestions, or questions below.
[0] https://github.com/luismedel/nbagent
[1] https://nullboard.io/preview
- Nullboard: Minimalist Kanban board, focused on compactness and readability
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Kanboard is a free and open source Kanban project management software
Surprisingly no one has mentioned nullboard (https://nullboard.io/preview) yet. Just a single file JSON to carry around the entire board.
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Looking for a Very Simple Kanban
Nullboard maybe?
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Software for organizing board game nights?
minimalist kanban board, without fancy tagging/time tracking/... features. Every game has a column, and notes are player names. nullboard would be perfect if it wasn't local only;
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Phabricator replacement? | Or OpenProject alternative? | issue tracking/code
Nullboard - cool simple project, no bug tracking
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Real hidden gems when it comes to self hosting
Nullboard - Kanban board with dark mode, localStorage, and thoughtful UI
- Ask HN: What are some tools / libraries you built yourself?
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Focalboard – a self-hosted alternative to Trello, Notion, and Asana
I use and like https://nullboard.io/preview nullboard which runs in the browser. Because it uses local data, you need to save it or the data is lost when you close the browser window.
What are some alternatives?
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
react-tech-tree - React visual tree components. Demo: https://ldd.github.io/react-tech-tree/
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
Kanboard - Kanban project management software
VulnerableApp - OWASP VulnerableApp Project: For Security Enthusiasts by Security Enthusiasts.
sleek - todo.txt manager for Linux, Windows and MacOS, free and open-source (FOSS)
profanity - Ncurses based XMPP client
logseq - A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.
nnAudio - Audio processing by using pytorch 1D convolution network
Wekan - The Open Source kanban (built with Meteor). Keep variable/table/field names camelCase. For translations, only add Pull Request changes to wekan/i18n/en.i18n.json , other translations are done at https://app.transifex.com/wekan/wekan only.
deep-translator - A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
TiddlyWiki - A self-contained JavaScript wiki for the browser, Node.js, AWS Lambda etc.