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cvxgrp avatar

cvxgrp/cvxpylayers

0
View on GitHub↗
2,106 stars·192 forks·Python·Apache-2.0·11 views

Cvxpylayers

CVXPYlayers is a Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY. A convex optimization layer solves a parametrized convex optimization problem in the forward pass to produce a solution. It computes the derivative of the solution…

Features

  • Optimization and Math - Differentiable convex optimization layers.
  • Data and Graph Processing - Differentiable convex optimization layers.
  • Developer Tools - Differentiable convex optimization layers.
  • PyTorch Utilities - Listed in the “PyTorch Utilities” section of the The Incredible Pytorch awesome list.

Star history

Star history chart for cvxgrp/cvxpylayersStar history chart for cvxgrp/cvxpylayers

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Cvxpylayers

These projects share indexed features with Cvxpylayers. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • swall0w/torchstatSwall0w avatar

    Swall0w/torchstat

    1,500View on GitHub↗

    Model analyzer in PyTorch

    Pythonpythonpytorch
    View on GitHub↗1,500
  • perone/euclidesdbperone avatar

    perone/euclidesdb

    640View on GitHub↗

    A multi-model machine learning feature embedding database

    C++
    View on GitHub↗640
  • awwong1/torchprofawwong1 avatar

    awwong1/torchprof

    605View on GitHub↗

    PyTorch layer-by-layer model profiler

    Python
    View on GitHub↗605
  • ag14774/diffdistag14774 avatar

    ag14774/diffdist

    62View on GitHub↗
    Python
    View on GitHub↗62
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Frequently asked questions

What does cvxgrp/cvxpylayers do?

CVXPYlayers is a Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY. A convex optimization layer solves a parametrized convex optimization problem in the forward pass to produce a solution. It computes the derivative of the solution…

What are the main features of cvxgrp/cvxpylayers?

The main features of cvxgrp/cvxpylayers are: Optimization and Math, Data and Graph Processing, Developer Tools, PyTorch Utilities.

Which projects share features with cvxgrp/cvxpylayers?

Projects with overlapping indexed features include: swall0w/torchstat — Model analyzer in PyTorch. perone/euclidesdb — A multi-model machine learning feature embedding database. bharathgs/nalu. aiqm/torchani — TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network… bachili/redner — Differentiable rendering without approximation. ag14774/diffdist.