Convex Optimization
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A Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY.
Python library for portfolio optimization built on top of scikit-learn
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.
Functional models and algorithms for sparse signal processing
A Python solver for convex optimization problems defined on graphs, enabling distributed optimization across network structures.
A Go interface for modeling mathematical programs like convex optimization problems with composable operations and clear error handling.
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