BestPractices VS reinforcement_learning_course_materials

Compare BestPractices vs reinforcement_learning_course_materials and see what are their differences.

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BestPractices reinforcement_learning_course_materials
1 1
155 902
- 0.2%
2.8 8.3
6 months ago 7 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.
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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

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 BestPractices and reinforcement_learning_course_materials you can also consider the following projects:

nbdev - Create delightful software with Jupyter Notebooks

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

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

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

py - Repository to store sample python programs for python learning

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

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.

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

jupytemplate - Templates for jupyter notebooks

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.

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

gds_env - A containerised platform for Geographic Data Science