teaching-monolith VS reinforcement_learning_course_materials

Compare teaching-monolith vs reinforcement_learning_course_materials and see what are their differences.

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teaching-monolith reinforcement_learning_course_materials
1 1
145 900
- 0.8%
4.3 8.3
about 2 months ago 13 days ago
Jupyter Notebook Jupyter Notebook
- 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.

teaching-monolith

Posts with mentions or reviews of teaching-monolith. We have used some of these posts to build our list of alternatives and similar projects.
  • Linear Programming
    1 project | /r/datascience | 16 Nov 2021
    I've created a short course on linear programming - you can find the resources here - https://github.com/ADGEfficiency/teaching-monolith/tree/master/linear-programming

reinforcement_learning_course_materials

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

What are some alternatives?

When comparing teaching-monolith and reinforcement_learning_course_materials you can also consider the following projects:

ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ML-Prediction-LoL - In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game.

learn-monogame.github.io - Documentation to learn MonoGame from the ground up.

BestPractices - Things that you should (and should not) do in your Materials Informatics research.

human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)

LlamaIndex-course - Learn to build and deploy AI apps.

get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

gds_env - A containerised platform for Geographic Data Science

JustEnoughScalaForSpark - A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

ml-course - Open Machine Learning course

feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials

ppde642 - USC urban data science course series with Python and Jupyter