ml-course VS reinforcement_learning_course_materials

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

ml-course

Open Machine Learning course (by girafe-ai)
Machine Learning Python Course Deep Learning Pytorch Natural Language Processing reinforcement-learning Computer Vision Materials seminars
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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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ml-course reinforcement_learning_course_materials
8 1
2,059 906
2.4% 0.9%
2.4 8.3
3 days ago 21 days ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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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.

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 ml-course and reinforcement_learning_course_materials you can also consider the following projects:

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

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

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

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

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.

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

TabularSemanticParsing - Translating natural language questions to a structured query language

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

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.

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

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

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.

ml-course vs pytorch-implementations reinforcement_learning_course_materials vs ML-Prediction-LoL ml-course vs IJCAI2023-CoNR reinforcement_learning_course_materials vs learn-monogame.github.io ml-course vs Subway-Station-Hazard-Detection reinforcement_learning_course_materials vs BestPractices ml-course vs TabularSemanticParsing reinforcement_learning_course_materials vs human-memory ml-course vs Deep-Learning-Computer-Vision reinforcement_learning_course_materials vs LlamaIndex-course ml-course vs Made-With-ML reinforcement_learning_course_materials vs get-started-with-JAX