ppde642 VS reinforcement_learning_course_materials

Compare ppde642 vs reinforcement_learning_course_materials and see what are their differences.

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ppde642 reinforcement_learning_course_materials
14 1
1,257 906
- 0.9%
7.8 8.3
18 days ago 22 days ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

ppde642

Posts with mentions or reviews of ppde642. We have used some of these posts to build our list of alternatives and similar projects.

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 ppde642 and reinforcement_learning_course_materials you can also consider the following projects:

osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.

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

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

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

kaggle-courses - Courses on Kaggle

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.

bulgarian-city-coat-of-arms - Векторни файлове на емблеми и гербове на български градове

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.