flyscrape
ML-For-Beginners
| flyscrape | ML-For-Beginners | |
|---|---|---|
| 7 | 28 | |
| 980 | 67,111 | |
| - | 2.7% | |
| 8.6 | 7.6 | |
| 2 months ago | 11 days ago | |
| Go | HTML | |
| Mozilla Public License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
flyscrape
- Show HN: Flyscrape – A command-line web scraper for non-expert programmers
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Web Scraping in Python – The Complete Guide
Shameless plug:
Flyscrape[0] lets you eliminate a lot of boilerplate code that is otherwise necessary when building a scraper from scratch, while still giving you the flexibility to extract data that perfectly fit your needs.
It comes as a single binary executable and runs small JavaScript files without having to deal with npm or node.
You can have a collection of small and isolated scraping scripts, rather than full on node projects.
[0]: https://github.com/philippta/flyscrape
- FLaNK Stack Weekly for 20 Nov 2023
- FLaNK Stack Weekly for 13 November 2023
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Show HN: Flyscrape – A standalone and scriptable web scraper in Go
Thanks for sharing! Just a small nit: the links at the bottom of this page are broken [1].
[1]: https://github.com/philippta/flyscrape/blob/master/docs/read...
- Show HN: flyscrape – An expressive and elegant web scraper
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
-
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?
cucim - cuCIM - RAPIDS GPU-accelerated image processing library
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
awesome-emulators - An awesome list of emulators!
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
engblogs - learn from your favorite tech companies
pycaret - An open-source, low-code machine learning library in Python
vimGPT - Browse the web with GPT-4V and Vimium
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
CML_AMP_Intelligent-QA-Chatbot-with-NiFi-Pinecone-and-Llama2 - The prototype deploys an Application in CML using a Llama2 model from Hugging Face to answer questions augmented with knowledge extracted from the website. This prototype introduces Pinecone as a database for storing vectors for semantic search.
pyVHR - Python framework for Virtual Heart Rate
clipea - 📎🟢 Like Clippy but for the CLI. A blazing fast AI helper for your command line
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]