:zap: A Fast, Extensible Progress Bar for Python and CLI
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Hyperparameter Experiments with TensorFlow and Keras
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.