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Automatically differentiate native Python and NumPy code for gradient-based optimization and machine learning.
A Python library for automatic differentiation that generates readable Python source code as its derivative output.
A Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY.
A C++17 library for automatic differentiation with forward and reverse mode support, enabling efficient derivative computation.
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