reinforcement_learning_course_materials VS ml-course

Compare reinforcement_learning_course_materials vs ml-course and see what are their differences.

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reinforcement_learning_course_materials ml-course
1 8
902 2,054
0.4% 1.9%
8.3 2.4
12 days ago 2 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.

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.

ml-course

Posts with mentions or reviews of ml-course. 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 ml-course 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.

pytorch-implementations - A collection of paper implementations using the PyTorch framework

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

IJCAI2023-CoNR - IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets

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

Subway-Station-Hazard-Detection - This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.

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

TabularSemanticParsing - Translating natural language questions to a structured query language

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

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

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.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.