modAL
igel
Our great sponsors
modAL | igel | |
---|---|---|
4 | 11 | |
2,119 | 3,081 | |
1.3% | - | |
1.9 | 1.1 | |
about 1 month ago | 12 months ago | |
Python | Python | |
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.
modAL
-
modAL VS encord-active - a user suggested alternative
2 projects | 12 Apr 2023
-
Launch HN: Lightly (YC S21): Label only the data which improves your ML model
How does it differentiate from modAL?
igel
-
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 ;)
-
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)
-
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
-
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
What are some alternatives?
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
VulnerableApp - OWASP VulnerableApp Project: For Security Enthusiasts by Security Enthusiasts.
profanity - Ncurses based XMPP client
nnAudio - Audio processing by using pytorch 1D convolution network
screenshot_identifier - make it easier to search through your screenshots in Mac OS, by mining the data in the pictures using optical character recognition (OCR), and putting it in the title
active_learning - Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.
mljar-examples - Examples how MLJAR can be used
deep-translator - A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
GPflowOpt - Bayesian Optimization using GPflow
react-native-vision-camera - 📸 The Camera library that sees the vision. [Moved to: https://github.com/mrousavy/react-native-vision-camera]
Quarkus - Quarkus: Supersonic Subatomic Java.