mlnotify
ML-For-Beginners
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mlnotify | ML-For-Beginners | |
---|---|---|
9 | 28 | |
340 | 66,908 | |
0.0% | 3.5% | |
0.0 | 7.6 | |
almost 2 years ago | 19 days ago | |
Vue | HTML | |
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.
mlnotify
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A ping when your model is done training !
Repo : https://github.com/aporia-ai/mlnotify
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[P] MLNotify - Get a push notification on model training completion with 1 line of import.
MLNotify: https://mlnotify.aporia.com/ GitHub: https://github.com/aporia-ai/mlnotify The story behind: https://www.aporia.com/meet-mlnotify/
- MLNotify v1.0
- Training your model can take a long long time... get NOTIFIED when it's finished!
- MLNotify – One import to get notified when your model training is finished
- MLNotify - Get notified when your ML model is finished training
- MLNotify - Get notified when your model is finished training
ML-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?
- 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?
What are some alternatives?
datascience - Curated list of Python resources for data science.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
coco-annotator - :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.
pycaret - An open-source, low-code machine learning library in Python
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
covalent - Teradata UI Platform built on Angular Material
pyVHR - Python framework for Virtual Heart Rate
pycm - Multi-class confusion matrix library in Python
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]