What resources on models and articles do you monitor?

For monitoring models and articles on machine learning and AI, I use the following resources:

• arXiv.org — for recent scientific publications and preprints.
• Papers with Code — combines articles with open implementations of models.
• Medium and Towards Data Science — popular articles and reviews.
• Kaggle — competitions and discussions, useful for practice and learning new approaches.
• GitHub — repositories with implementations of models and tools.
• Newsletter subscriptions: The Batch (Andrew Ng), Import AI, Deep Learning Weekly.
• Communities and forums: Reddit r/MachineLearning, Stack Overflow.

This set helps to stay updated on the latest trends and practices in ML and AI.