machine-learning-roadmap VS awesome-css

Compare machine-learning-roadmap vs awesome-css and see what are their differences.

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them. (by mrdbourke)

awesome-css

:art: A curated contents of amazing CSS :) (by awesome-css-group)
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machine-learning-roadmap awesome-css
5 9
7,164 4,870
- 0.8%
0.0 0.0
over 1 year ago about 1 month ago
MIT License Creative Commons Attribution Share Alike 4.0
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.

machine-learning-roadmap

Posts with mentions or reviews of machine-learning-roadmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.

awesome-css

Posts with mentions or reviews of awesome-css. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-26.

What are some alternatives?

When comparing machine-learning-roadmap and awesome-css you can also consider the following projects:

applied-ml - ๐Ÿ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-react - A collection of awesome things regarding React ecosystem

stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning

awesome-tailwindcss - ๐Ÿ˜Ž Awesome things related to Tailwind CSS

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-react-native - Awesome React Native components, news, tools, and learning material!

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-material-ui - A curated list of Material-UI resources and related projects. The main idea is that everyone can contribute here, so we can have a central repository of informations about Material-UI that we keep up-to-date

Hello-Kaggle - For someone who is new at Kaggle

awesome-redux - Awesome list of Redux examples and middlewares

Knet.jl - Koรง University deep learning framework.

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)