igel
AI-Expert-Roadmap
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igel | AI-Expert-Roadmap | |
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11 | 30 | |
3,081 | 28,208 | |
- | 1.6% | |
1.1 | 0.0 | |
12 months ago | 3 months ago | |
Python | JavaScript | |
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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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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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
AI-Expert-Roadmap
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Best AI ML DL DS Roadmap
**[I.am.ai AI Expert Roadmap](https://i.am.ai/roadmap)**: This roadmap focuses more on AI and includes various aspects of machine learning and deep learning. It's suitable for those who want to delve deeper into AI, particularly in cutting-edge research and applications.
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[D] Best AI ML DL DS Roadmap
Some roadmaps I have found: - [roadmap.sh] AI and Data Scientist Roadmap ← Best? - [i.am.ai] AI Expert Roadmap - [github.com] mrdbourke/machine-learning-roadmap - [github.com] luspr/awesome-ml-courses - [rentry.org] Machine Learning Roadmap
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[D] Roadmap.sh vs Al Expert Roadmap
[i.am.ai] AI Expert Roadmap
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Mlops roadmap
Also: https://i.am.ai/roadmap/
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10 Repositories di GitHub Must-Have
AI Expert Roadmap
- How to start from scratch?
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Top Github repo trends in 2021
the AI Expert Roadmap (interactive web page), seems to have taken inspiration from the developer roadmap linked above and is awesome. I LOVE how they separate out different personas, from data scientist, to machine learning, to deep learning, to data engineering, etc. It’s really well done and fun to browse through! It is also kind of fun to juxtapose this with the aforementioned Developer Roadmap, as well as the Analytics Engineers Club, as they collected cover so much of modern tech is slightly MECE² (#BCG) ways 😃
What are some alternatives?
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
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Mind.js - A neural network library built in JavaScript