machine-learning-roadmap
awesome-javascript
| machine-learning-roadmap | awesome-javascript | |
|---|---|---|
| 5 | 17 | |
| 7,164 | 32,834 | |
| - | - | |
| 0.0 | 3.7 | |
| over 1 year ago | 10 days ago | |
| 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.
machine-learning-roadmap
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Best AI ML DL DS Roadmap
**[Mrdbourke/machine-learning-roadmap on GitHub](https://github.com/mrdbourke/machine-learning-roadmap)**: This GitHub repository is more focused on machine learning. It's a good choice if you're looking for a more community-driven approach, as GitHub repositories often encourage contributions and updates from various experts.
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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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100+ Must Know Github Repositories For Any Programmer
7. Machine Learning Roadmap
- Where can I start?
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Machine Learning Roadmap
Original article here: https://github.com/mrdbourke/machine-learning-roadmap
awesome-javascript
- 10 GitHub Repos for Mastering JavaScript
- 18 Must-Bookmark GitHub Repositories Every Developer Should Know
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Awesome Github Repos to Master JAVASCRIPT
😎 Browser-based library, resources, and a list of shiny things -> awesome-javascript
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Unlock Your Full Potential as a JavaScript Developer: Dive into these Top GitHub Repositories and supercharge your skills!
Awesome JavaScript GitHub Repo
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100+ Must Know Github Repositories For Any Programmer
8. Awesome JavaScript
- Top 6 Github Repos for JavaScript Developers...
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Github Repositories to learn Javascript
🐾https://github.com/trekhleb/javascript-algorithms Algorithms and data structures implemented in JavaScript with explanations and links to further readings 143k stars 🐾https://github.com/ryanmcdermott/clean-code-javascript Clean Code concepts adapted for JavaScript 68.4 stars 🐾https://github.com/leonardomso/33-js-concepts 33 JavaScript concepts every developer should know. 49.3k stars 🐾https://github.com/getify/You-Dont-Know-JS A book series on JavaScript 154k stars 🐾https://github.com/lydiahallie/javascript-questions A long list of (advanced) JavaScript questions, and their explanations 44.3k stars 🐾https://github.com/wesbos/JavaScript30 A long list of (advanced) JavaScript questions, and their explanations 19.8k stars 🐾https://github.com/verekia/js-stack-from-scratch Step-by-step tutorial to build a modern JavaScript stack. 19.1k stars 🐾https://github.com/sorrycc/awesome-javascript A collection of awesome browser-side JavaScript libraries, resources and shiny things 27.9k stars 🐾https://github.com/Asabeneh/30-Days-Of-JavaScript 30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days 22.3k stars 🐾https://github.com/denysdovhan/wtfjs A list of funny and tricky JavaScript examples 26.6k stars
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Looking for a JavaScript library with ORM-like capabilities
I've looked on https://github.com/sorrycc/awesome-javascript, and none of these libraries appear to do what I want based on the description, let alone finding a category that seems to match.
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Is it problematic that I can build apps in react (with ease) but when it comes to making a website in vanilla JS I don't even know where to start.
Awesome JS
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Planning to learn Javascript at 45, any suggestions?
https://github.com/sorrycc/awesome-javascript/blob/master/README.md is a good resource to see the massive size of the JS ecosystem.
What are some alternatives?
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
You-Dont-Know-JS - A book series on JavaScript. @YDKJS on twitter.
stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning
awesome-react - A collection of awesome things regarding React ecosystem
interviews.ai - It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
awesome-tailwindcss - 😎 Awesome things related to Tailwind CSS
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
awesome-nextjs - :notebook_with_decorative_cover: :books: A curated list of awesome resources : books, videos, articles about using Next.js (A minimalistic framework for universal server-rendered React applications)
Hello-Kaggle - For someone who is new at Kaggle
awesome-nodejs - :zap: Delightful Node.js packages and resources
Knet.jl - Koç University deep learning framework.
33-js-concepts - 📜 33 JavaScript concepts every developer should know.