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 Fast.ai Deep Learning, Machine learning and NLP, Stanford CS224N, Deeplearning.ai 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!

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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

Generative AI
The discussion group will focus on practical applications of LLMs (billion parameter generative models).
Practical DL for Coders (Part 2)
This study group will cover Part 2 of the Fast.ai’s Practical Deep Learning course.
Natural Language Processing with Transformers BookClub
In this study group we’ll explore the book NLP with Transformers Book by Lewis Tunstall, Leandro von Werra and Thomas Wolf
Deep Unsupervised Learning (Berkeley) Study Group 2021
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.
Reinforcement Learning Study Group
This study group will follow the text Reinforcement Learning: An Introduction, Sutton and Barto, 2nd Edition, 2018 MIT Press.
Causal Modeling in Machine Learning Study Group
Six practical and accessible modules on Causal Modeling in Machine Learning in collaboration with research scientist and instructor Robert Ness.
NLP Embeddings Meetup
Each week we discuss our personal and professional NLP projects, providing advice and guidance and sharing code.
Kaggle Team
The Kaggle group meets weekly to work on and discuss Kaggle competion challenges in a variety of domains.
CS224W: Machine Learning with Graphs 2021 Study Group
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
Building Machine Learning Pipelines
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
DEEP LEARNING (with PyTorch) course by NYU (2020)
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.
Natural Language Understanding – CS224U
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.
fast.ai Practical Deep Learning for Coders Study Group
This study group works through the fast.ai 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!
Deep Reinforcement Learning Meetup
This study group works through David Silver’s course on Reinforcement Learning. This meetup has ended. Please contact team@twimlai.com if you’re interested in launching a new iteration of this group.
Hands-on Machine Learning Study 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.
Natural Language Processing with Deep Learning – CS224N
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!