Repository Index

Efficiently computes derivatives of NumPy code.

• autograd
• automatic-differentiation
• numpy
• python

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

• robotics
• dynamics
• analytical-derivatives
• kinematics

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript

• optimization
• nonlinear
• derivatives
• code-generation

automatic differentiation made easier for C++

• automatic-differentiation
• auto-differentiation
• autodiff
• autodifferentiation

a numpy-like fast vector module for micropython, circuitpython, and their derivatives

• micropython-ulab
• numpy
• micropython
• module

The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.

• automatic-differentiation
• aad
• algorithmic-differentiation
• autodiff

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

• deep-learning
• deep-neural-networks
• gradient-descent
• automatic-differentiation