Now introducing Chrome extension that makes it easy to find code when browsing arxiv.org or Google Scholar:

Web data scraping with Python by Brian Keegan University of Colorado, 2019.
Enjoy scraping web with detailed tutorial

Interpretable Machine Learning
"A Guide for Making Black Box Models Explainable" by Christoph Molnar

Let's travel zoopark of GANs. Here is listed more than 300 (~) types of GANs family for different purposes. Happy travel and enjoy

De Facto list of book from Geeks of Deep Learning. Happy learning from up-to-date resources. Updated list 2019

Discover open source Deep Learning code and pretrained models.
Deep learning researchers easily find pre-trained models for a variety of platforms and uses. Great resource

Great article from Analytics Vidhya:
"A Step-by-Step NLP Guide to Learn ELMo for Extracting Features from Text".

* However you can utilize ElMo for several domains:
- Machine Translation
- Language Modeling
- Text Summarization
- Named Entity Recognition
- Question-Answering Systems

This is a great place to share resources with other, here is Global Artificial Community platform, where you can find questions, discussions solutions only about #AI. And also there are some upcoming great features, which will really usefull for us. Visit, login, share and be more related with #AI stuff.

Another great lecture series from Stanford. CS224N Natural Language Processing with Deep Learning | Winter 2019

Well explained Tutorial series: Transfer Learning, Natural Language Processing, Text classification, etc from Sebastian Ruder.