reinforcement_learning_course_materials VS chatlab

Compare reinforcement_learning_course_materials vs chatlab and see what are their differences.

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reinforcement_learning_course_materials chatlab
1 1
914 119
1.5% -
7.7 9.6
11 days ago 3 months ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 or later
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.

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.

chatlab

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

What are some alternatives?

When comparing reinforcement_learning_course_materials and chatlab you can also consider the following projects:

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

py - Repository to store sample python programs for python learning

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

nbdev - Create delightful software with Jupyter Notebooks

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

fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

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

hackGPT - I leverage OpenAI and ChatGPT to do hackerish things

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

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

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

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