The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
-
Updated
Aug 12, 2022 - Jupyter Notebook
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.
Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.
Sutton and Barto's RL Book Exercises in Jupiter Notebook (Python3)
collection of examples
jupyter notebook (python code) for sutton book
A repository dedicated to learning about Artificial Intelligence, Machine Learning, and Deep Learning using Python/IPython Notebook.
It features a 2D race car model using Reinforcement Learning to identify the fastest track path, showcased in a Jupyter Notebook.
This work is about creating a DQN agent, able to learn and well perform in the Atari2600 Pong, using Reinfrocement Learning and Deep Q-Network. The code is developed on a jupyter notebook in python while the game environment is provided by OpenAi called "OpenAi Gym".
The current repository contains Jupytre-notebook implementations of different Reinforcement Learning algorithms from the well-known Introduction to Reinforcement Learning book by Sutton & Barto, and algorithms from iconic papers in the field.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Add a description, image, and links to the reinforcement-learning-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the reinforcement-learning-algorithms topic, visit your repo's landing page and select "manage topics."