reinforcement_learning_course_materials
learn-monogame.github.io
| reinforcement_learning_course_materials | learn-monogame.github.io | |
|---|---|---|
| 1 | 3 | |
| 902 | 19 | |
| 0.4% | - | |
| 8.3 | 7.5 | |
| 11 days ago | 2 months ago | |
| Jupyter Notebook | ||
| MIT License | Creative Commons Zero v1.0 Universal |
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reinforcement_learning_course_materials
learn-monogame.github.io
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Where do I get started with Monogame/Nez? And is this platform good for 2D game development?
I wrote some tutorials here: https://learn-monogame.github.io/.
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I'm so overwhelmed... where do I start???
I've been writing articles here: https://learn-monogame.github.io/. If you have specific stuff you'd like to learn, feel free to send the tutorial requests my way.
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I'm working on a new site to help learn MonoGame
Feel free to request subjects that I should cover in here or in the GitHub Discussions.
What are some alternatives?
ML-Prediction-LoL - In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game.
rust-learning - A bunch of links to blog posts, articles, videos, etc for learning Rust
BestPractices - Things that you should (and should not) do in your Materials Informatics research.
DockerCheatSheet - 🐋 Docker Cheat Sheet 🐋
human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)
start-machine-learning - A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
LlamaIndex-course - Learn to build and deploy AI apps.
go-incognito - Go Incognito: A Guide to Security, Privacy, & Anonymity
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.
start-machine-learning-in-2020 - A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques! [Moved to: https://github.com/louisfb01/start-machine-learning]
gds_env - A containerised platform for Geographic Data Science
JustEnoughScalaForSpark - A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.