A collection of Reinforcement Learning algorithms from Sutton and Barto’s book and other research papers implemented in Python.

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.

Notebooks for learning deep learning

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

This depot contain tutorials for real beginners who want to understand machine learning by reading some code.

Jupyter notebook widget to quickly label text data

The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.

A collection of Jupyter notebooks showing how to use Qiskit that is synced with the IBM Q Experience

Notebooks for my “Deep Learning with TensorFlow 2 and Keras” course