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…
Las características principales de cvxgrp/cvxpylayers son: Optimization and Math, Data and Graph Processing, Herramientas de desarrollo, PyTorch Utilities.
Las alternativas de código abierto para cvxgrp/cvxpylayers incluyen: 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.
