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locuslab/e2e-model-learning

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E2e Model Learning

Features

  • Model Implementations - Task-based end-to-end model learning.
  • Optimization Tools - Task-based end-to-end model learning.
  • Multi-task Learning - Listed in the “Multi-task Learning” section of the The Incredible Pytorch awesome list.

Star history

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Frequently asked questions

What are the main features of locuslab/e2e-model-learning?

The main features of locuslab/e2e-model-learning are: Model Implementations, Optimization Tools, Multi-task Learning.

What are some open-source alternatives to locuslab/e2e-model-learning?

Open-source alternatives to locuslab/e2e-model-learning include: edouardoyallon/pyscatwave — Fast Scattering Transform with CuPy/PyTorch. episodeyang/deep-auto-punctuation. amdegroot/pytorch-containers. cemoody/topicsne. edouardoyallon/scalingscattering. ikostrikov/pytorch-meta-optimizer — A PyTorch implementation of Learning to learn by gradient descent by gradient descent.