Why I use it: The GitHub of ML. Transformers library + Model Hub + Datasets = the complete ML ecosystem.
Why I use it: Distributed ML framework. Ray Train for distributed training, Ray Tune for hyperparameter search.
Why I use it: Google's ML framework. Best for production deployment with TF Serving, TF Lite, and TF.js.
Why I use it: PyTorch Lightning organizes your training code. Lightning AI cloud handles the infrastructure.
Why I use it: The default ML framework. Intuitive, Pythonic, and backed by the largest research community.
Why I use it: Google's high-performance ML framework. Fastest on TPUs with elegant functional transformations.