Logisim-Dark
A fork of Logisim with a Darcula-like look and feel (by hackettccp)
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all (by microsoft)
Logisim-Dark | ML-For-Beginners | |
---|---|---|
1 | 28 | |
10 | 66,908 | |
- | 2.5% | |
0.0 | 7.6 | |
over 1 year ago | 22 days ago | |
HTML | HTML | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
Logisim-Dark
Posts with mentions or reviews of Logisim-Dark.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-27.
-
Logisim-Dark: A new dark-themed fork of Logisim
Source: Github
ML-For-Beginners
Posts with mentions or reviews of ML-For-Beginners.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-13.
-
Good coding groups for black women?
- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
- FLaNK Stack Weekly for 20 Nov 2023
- ML for Beginners GitHub
-
is it worth learning NLP without master degree?
I don't recommend just jumping in into natural language processing directly without understanding artificial intelligence theory. I personally recommend for you to start with the basic stuff (regression, classification, and clustering, for example), and then jump into more advanced topics. You already know software developer stuff, so that's a big step already, and it should be easier to understand some concepts. Maybe follow Microsoft's machine learning for beginners curriculum? It looks like a good roadmap overall to not instantly burn out on nlp
- AI i Machine Learning
- I want to learn more about AI and Machine Learning
-
Pocetak ML karijere
https://github.com/microsoft/ML-For-Beginners jel mislis na ovo?
- How could I have known
- GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- How do I reset my career after already getting my masters?