reinforcement_learning_course_materials VS BestPractices

Compare reinforcement_learning_course_materials vs BestPractices and see what are their differences.

reinforcement_learning_course_materials

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University (by upb-lea)
reinforcement-learning Control Teaching teaching-materials Python Latex Prediction Machine Learning Course course-materials online-videos online-learning Tutorial lecture lecture-notes open-educational-resources open-education-resources open-education Jupyter jupyter-notebooks
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BestPractices

Things that you should (and should not) do in your Materials Informatics research. (by anthony-wang)
Machine Learning neural-networks materials-science materials-informatics Data Science common-pitfalls best-practices example-code Python interactive-notebooks Jupyter jupyter-notebooks
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reinforcement_learning_course_materials BestPractices
1 1
902 157
0.4% -
8.3 2.8
11 days ago 6 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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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.

BestPractices

Posts with mentions or reviews of BestPractices. We have used some of these posts to build our list of alternatives and similar projects.
  • Ideas for Materials Science / Data Science projects
    1 project | /r/materials | 19 Feb 2021
    My research group recently wrote the definitive best practice guide for getting into this field. We provide a GitHub with some example data that you could take a look at. The code snippets will be really useful because we have them really well commented. https://github.com/anthony-wang/BestPractices

What are some alternatives?

When comparing reinforcement_learning_course_materials and BestPractices 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.

nbdev - Create delightful software with Jupyter Notebooks

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

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)

py - Repository to store sample python programs for python learning

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

pymatgen - Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

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.

jupytemplate - Templates for jupyter notebooks

gds_env - A containerised platform for Geographic Data Science

jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks

reinforcement_learning_course_materials vs ML-Prediction-LoL BestPractices vs nbdev reinforcement_learning_course_materials vs learn-monogame.github.io BestPractices vs fastpages reinforcement_learning_course_materials vs human-memory BestPractices vs py reinforcement_learning_course_materials vs LlamaIndex-course BestPractices vs pymatgen reinforcement_learning_course_materials vs get-started-with-JAX BestPractices vs jupytemplate reinforcement_learning_course_materials vs gds_env BestPractices vs jupyter-memgraph-tutorials