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A Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY.
A Python framework for portfolio optimization using deep learning to allocate investment weights in a single forward pass.
A Python package built on JAX for solving inverse problems in scientific imaging using optimization and prior models.
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