CS-7641-Machine-Learning-Notes VS awesome-full-stack-machine-learning-courses

Compare CS-7641-Machine-Learning-Notes vs awesome-full-stack-machine-learning-courses and see what are their differences.

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CS-7641-Machine-Learning-Notes awesome-full-stack-machine-learning-courses
1 6
197 412
- -
0.0 5.6
over 3 years ago 8 months ago
- Creative Commons Zero v1.0 Universal
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.
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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.

CS-7641-Machine-Learning-Notes

Posts with mentions or reviews of CS-7641-Machine-Learning-Notes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-12.

awesome-full-stack-machine-learning-courses

Posts with mentions or reviews of awesome-full-stack-machine-learning-courses. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing CS-7641-Machine-Learning-Notes and awesome-full-stack-machine-learning-courses you can also consider the following projects:

CS-7642-Reinforcement-Learning-Notes - In this repository, I will publish my notes for GaTech's Reinforcement Learning course CS7642.

deep-learning-drizzle - Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

awesome-decision-transformer - A curated list of Decision Transformer resources (continually updated)

stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

awesome-full-stack-machine-courses - Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford. [Moved to: https://github.com/leehanchung/awesome-full-stack-machine-learning-courses]

cs-video-courses - List of Computer Science courses with video lectures.