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.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Learn OpenCV : C++ and Python Examples

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Notebooks for learning deep learning

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch

Spectral Normalization for Keras Dense and Convolution Layers