NLP highlights for the year 2019.

This post was co-authored by @JS Tan, @Patrick Buehler, and @Jun Ki Min   In recent years, we've seen extraordinary growth in Computer Vision, with applications in image understanding, search, mapping, semi-autonomous or autonomous vehicles and many more.  …

I've started to upload the videos for the Neural Nets for NLP class here: https://t.co/H1jHhqwTWz We'll be uploading the videos regularly throughout the rest of the semester, so please follow the playlist if you're interested. https://t.co/aYA0drnKiP

Learning resources and content found while scraping the world Wide Web - an-2018/machine-learning-resources

2019 - What a year for Deep Reinforcement Learning (DRL) research - but also my first year as a PhD student in the field. Like every PhD novice I got to spend a lot of time reading papers, implementing cute ideas & getting a feeling for the big questions.…

Explore the "Pytorch Udacity resource database" view on Airtable.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. - bharathgs/Awesome-pytorch-list

So I trained a #DeepLearning model to have the reading comprehension ability of a first grader. Try it out! https://t.co/1qhHu0Rhtc Built using @huggingface, @GoogleAI ALBERT, @vuejs, @tiangolo #FastAPI #AI #MachineLearning #NLP

The open-source computer vision projects listed in this article are categorized in an experience-wise manner with their implementations shown in Python.