cvxpylayers

README.md

@@ -233,6 +233,7 @@ This library contains a PyTorch implementation of the SO(3) equivariant CNNs for
 125. [higher](https://github.com/facebookresearch/higher): higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
 126. [Torchelie](https://github.com/Vermeille/Torchelie/): Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch. torchelie.readthedocs.org 
 127. [CrypTen](https://github.com/facebookresearch/CrypTen): CrypTen is a Privacy Preserving Machine Learning framework written using PyTorch that allows researchers and developers to train models using encrypted data. CrypTen currently supports Secure multi-party computation as its encryption mechanism.
+128. [cvxpylayers](https://github.com/cvxgrp/cvxpylayers): cvxpylayers is a Python library for constructing differentiable convex optimization layers in PyTorch
 
 
 ## Tutorials & examples