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Weights & Biases
Building the future of AI
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17 reviews
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2 shoutouts
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p/weights-biases
Lukas Biewald
•
5yr ago
Sweeps - Scalable, customizable hyperparameter tuning
Hyperparameter tuning is a way to find the best machine learning model. We make it ridiculously easy to run hyperparameter sweeps using simple algorithms like grid search, to more modern approaches like bayesian optimization and early stopping.
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p/weights-biases
Stephanie Sher
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6yr ago
Weights & Biases - Developer tools for deep learning & machine learning
Easily track & save the performance of your deep learning models. In < 5 lines of code, integrate Keras, Tensorflow, Pytorch, or Fastai models so that every hyperparameter & metric is saved each time code runs.
https://www.youtube.com/watch?v=icy3XkZ5jBk
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