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TorchOpt: An Efficient Library for Differentiable Optimization
An overview for our NeurIPS 2022 Workshop OPT paper, TorchOpt - An Efficient Library for Differentiable Optimization. In this paper, we introduce TorchOpt, a PyTorch-based efficient library for differentiable optimization. This library provides unified and expressive differentiable optimization programming abstraction, and high-performance distributed execution runtime.