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locuslab/qpth

0
View on GitHub↗
0 stars·0 forks·11 views

Qpth

Features

  • Model Implementations - Fast and differentiable quadratic programming solver.
  • Optimization Tools - Fast and differentiable QP solver.

Star history

Star history chart for locuslab/qpthStar history chart for locuslab/qpth

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What are the main features of locuslab/qpth?

The main features of locuslab/qpth are: Model Implementations, Optimization Tools.

What are some open-source alternatives to locuslab/qpth?

Open-source alternatives to locuslab/qpth 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.