The TWIML Community is a global network of machine learning, deep learning and AI practitioners and enthusiasts.

We organize ongoing educational programs including study groups for several popular ML/AI courses such as Deep Learning, Machine learning and NLP, Stanford CS224N, and more. We also host several special interest groups focused on topics like Swift for Tensorflow, and competing in Kaggle competitions.

When you join the Community you’ll be invited to our active Slack, where members exchange info, tips, ideas and assistance. You can participate in any of our programs by joining the appropriate Slack channel. Please keep in mind our TWIML Values & Guidelines and our Slack Community Code of Conduct when you join our Community – we’re excited you’re here!

Please see grid below for current programs. Please refer to program details below and respective Slack channels for exact meetup times

TWIML invites community members to form study groups around topics of interest. For guidelines and to learn more about how to launch a study group click here

Current and Upcoming Programs

The discussion group will focus on practical applications of LLMs (billion parameter generative models).
This study group will cover Part 2 of the’s Practical Deep Learning course.
In this study group we’ll explore the book NLP with Transformers Book by Lewis Tunstall, Leandro von Werra and Thomas Wolf
The course covers both deep generative models and self-supervised learning, including both their theoretical foundations of these topics as well as their newly enabled applications.
This study group will follow the text Reinforcement Learning: An Introduction, Sutton and Barto, 2nd Edition, 2018 MIT Press.
Six practical and accessible modules on Causal Modeling in Machine Learning in collaboration with research scientist and instructor Robert Ness.
Each week we discuss our personal and professional NLP projects, providing advice and guidance and sharing code.
The Kaggle group meets weekly to work on and discuss Kaggle competion challenges in a variety of domains.
This study group meets every Sunday from 10:00 AM – 11:00 AM PT starting on June 12, 2021. Topics include: representation learning and Graph Neural Networks and much more
This study group will follow the text Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow. We meet Wednesdays at 9:30 pm ET / 6:30pm PT starting on April 7, 2021
This study group will follow the Deep Learning with Pytorch course at NYU. The course is about the latest techniques in deep learning in the areas of computer vision, NLP, and speech.
This study group works through the Stanford CS224U Spring 2019 course lectures, papers and additional resources for better understanding the current state of the art in Natural Language Understanding.
This study group works through the Practical Deep Learning for Coders course lectures, discusses additional resources for better understanding, and is for anyone who is interested in Deep Learning, including beginners!
This study group works through David Silver’s course on Reinforcement Learning. This meetup has ended. Please contact if you’re interested in launching a new iteration of this group.
Our Hand-on Machine Learning study group works through each chapter in Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron.
This course works through the Stanford CS224 Winter 2019 course lectures, and discusses additional resources for better understanding. This study group is for anyone who is interested in NLP, including beginners!