lego-mindstorms
ML-For-Beginners
lego-mindstorms | ML-For-Beginners | |
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6 | 31 | |
75 | 70,029 | |
- | 0.6% | |
3.1 | 6.5 | |
over 1 year ago | 14 days ago | |
Jupyter Notebook | HTML | |
MIT License | MIT License |
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lego-mindstorms
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Is there a popular code-sharing site for lego mindstorms 51515?
I use Python for programming the 51515 and in my experience, the best place to share code for projects is GitHub. You can take a look at my LEGO MINDSTORMS repo right here. A quick search in the site also shows other repositories. Since it is a relatively new product, its user base isn't as large as others (e.g., EV3 one) is, but I expect it to grow fast in the short future.
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Ri 51515 Question On Concurrent Movement
You can find the code for it here and a little video showing the functionality here.
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Robot Inventor Organizer?
You can see pictures of my boxes here
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RI 51515 Question on concurrent movement?
I thought the same. However, there is actually a way, although it is a bit more hidden and it isn't defined in the official documentation. In short, you can access that functionality not through MSHub, but through hub. Take a look at the example mshub_vs_hub, where I explain it in more detail. (If that link doesn't work, try this one then).
ML-For-Beginners
- A股大涨 - FAV0周刊#016
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A-Share Market Surge - FAV0 Weekly #016
Free Machine Learning Courses from Microsoft
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Top Github repositories for 10+ programming languages
Machine learning for beginners
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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
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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
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Pocetak ML karijere
https://github.com/microsoft/ML-For-Beginners jel mislis na ovo?
What are some alternatives?
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
spike-prime - Experiments with the LEGO Mindstorms (51515) and SPIKE Prime (45678)
pycaret - An open-source, low-code machine learning library in Python
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
fastai - The fastai deep learning library
pyVHR - Python framework for Virtual Heart Rate
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]
spike-tools - Utilities for experimenting with Lego Spike Hub
amazon-denseclus - Clustering for mixed-type data