Gradient Computation

autogradPython

Automatically differentiate native Python and NumPy code for gradient-based optimization and machine learning.

TangentPython

A Python library for automatic differentiation that generates readable Python source code as its derivative output.

cvxpylayersPython

A Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY.

autodiffC++

A C++17 library for automatic differentiation with forward and reverse mode support, enabling efficient derivative computation.

autogradLua

Autograd automatically differentiates native Torch code, enabling automatic gradient computation for machine learning models.

XADC++

A high-performance C++ automatic differentiation library for large-scale, performance-critical systems.