Jupyter Notebook is becoming most dominant IDE for many programming languages (especially, Python). In this link provided useful tips, tricks, and shortcuts about Jupyter Notebook

Since is introduced by Ian Goodfellow (in 2014), GANs ( Generative Adversarial Networks) gained high attention among AI world and in challenging area of research, as well as, developed many frameworks and cool applications based GANs. Below We share link about list of fraweworks, which created and applied for certain research are based on GANs.

All about GANs: Application area, performance, improvements, difficulties, issues, optimization, ...

The "Python machine learning book 2nd edition" book code repository. With practical examples and provided Notebook file for convinience

"Advanced Deep Learning with Keras" by Rowel Atienza (Published october, 2018). I am providing this book's github repo for practicing directly with codes. You can learn about key points of Keras and series of GAN. I hope you enjoy

From command line into a GUI. YOLO demonstration running inside of a PySimpleGUI. Instruction is clearly given in project's github repository

Datasets list by categories and description, which we can use for machine learning practices. Article originally written in Japanese language, but I hope in your browser "translate page" extension is turned on and you have no problem. Enjoy with playing with datasets in your research.

"Dive into Deep Learning"
An interactive deep learning book for students, engineers, and researchers.

Artificial Intelligence wiki from skimind ai team. Everything about AI, DL and ML. Great recourse

Intelligent painting with GAN by directly activating and deactivating sets of neurons in a deep network trained to generate images. Code and Data, Paper, Video and Interactive demo is available.