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Examples and guides for using the OpenAI API
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Neural Networks: Zero to Hero
Data and code behind the articles and graphics at FiveThirtyEight
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Kubernetes community content
TensorFlow Tutorials with YouTube Videos
CoreNet: A library for training deep neural networks
Introduction to Deep Neural Networks with Keras and Tensorflow
How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.