awesome-reasoning VS machine-learning-roadmap

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

awesome-reasoning

a curated list of data for reasoning ai (by neurallambda)
Data Machine Learning synthetic-data Reasoning
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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)
Machine Learning Deep Learning Data Data Science
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awesome-reasoning machine-learning-roadmap
1 5
90 7,164
- -
7.9 0.0
2 days ago over 1 year ago
- MIT License
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.

awesome-reasoning

Posts with mentions or reviews of awesome-reasoning. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

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

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

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.

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.

Hello-Kaggle - For someone who is new at Kaggle

Knet.jl - Koç University deep learning framework.

awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.

nodebestpractices - :white_check_mark: The Node.js best practices list (February 2024)

You-Dont-Know-JS - A book series on JavaScript. @YDKJS on twitter.

react-boilerplate - :fire: A highly scalable, offline-first foundation with the best developer experience and a focus on performance and best practices.

awesome-javascript - 🐢 A collection of awesome browser-side JavaScript libraries, resources and shiny things.

html5-boilerplate - A professional front-end template for building fast, robust, and adaptable web apps or sites.

machine-learning-roadmap vs applied-ml machine-learning-roadmap vs stanford-cs-229-machine-learning machine-learning-roadmap vs interviews.ai machine-learning-roadmap vs yt-channels-DS-AI-ML-CS machine-learning-roadmap vs Hello-Kaggle machine-learning-roadmap vs Knet.jl machine-learning-roadmap vs awesome-datascience machine-learning-roadmap vs nodebestpractices machine-learning-roadmap vs You-Dont-Know-JS machine-learning-roadmap vs react-boilerplate machine-learning-roadmap vs awesome-javascript machine-learning-roadmap vs html5-boilerplate