igel
yadm
Our great sponsors
igel | yadm | |
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11 | 81 | |
3,080 | 4,779 | |
- | - | |
1.1 | 2.4 | |
about 1 year ago | 2 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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
yadm
- Yadm: Yet Another Dotfiles Manager
- YADM: Yet Another Dotfiles Manager
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Ask HN: What Underrated Open Source Project Deserves More Recognition?
Everyone hand-rolls their own dotfile management system, but YADM already does everything you need:
https://yadm.io/
- Yet Another Dotfiles Manager
- Tell HN: My Favorite Tools
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Dotfiles Matter
I've been working around this using tools built on top of git like [yadm](https://github.com/TheLocehiliosan/yadm) and relying on `ls-files` to list all my tracked dotfiles and their paths.
Still having everything in one place would make things much simpler. Great idea!
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System settings that aren’t in System Settings
I wonder if the program i use to manage my dotfiles could help manage your scripts and extend your setup to all your desktops? Its called yadm (https://yadm.io/) it makes it so easy to have a laptop and a desktop or two.
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The right way to keep config files synced across devices?
I really like that one but still prefer yadm because you can just edit your files as usual and then yadm add them wherever you are.
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Just got a new M2 Pro after my 2016 became outdated. What are your first steps to setting up a new computer?
If you haven’t already, this is the time to install a tool like yadm and get your computer configuration into version control. Your command-line tools can be managed by yadm directly, your system settings can mostly be managed with a yadm bootstrap script that runs things like defaults write, and the software you install can be managed with a Brewfile that the yadm bootstrap script uses to install software with Homebrew. Don’t manually download Xcode, use xcodes to do it.
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System 76 Linux script to set up a new PC including the personal profile and prefered software installs
I personally use YADM. It's basically a git repo on my home folder, that only tracks what I explicitly set. And you can setup bootstraps to do what you said, install a bunch of stuff or make custom changes. In it's essence, it's a set of bash/sh files that are executed sequentially when you launch the yadm bootstrap command.
What are some alternatives?
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
GNU Stow - GNU Stow - mirror of savannah git repository occasionally with more bleeding-edge branches
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
chezmoi - Manage your dotfiles across multiple diverse machines, securely.
VulnerableApp - OWASP VulnerableApp Project: For Security Enthusiasts by Security Enthusiasts.
Home Manager using Nix - Manage a user environment using Nix [maintainer=@rycee]
profanity - Ncurses based XMPP client
dotbot - A tool that bootstraps your dotfiles ⚡️
nnAudio - Audio processing by using pytorch 1D convolution network
homesick - Your home directory is your castle. Don't leave your dotfiles behind.
deep-translator - A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.