This project/package is part of the Harvard CS107/AC207 class final project in Fall 2021, automatic differentiation (AD). We created this package to compute the first-order derivative from a user-defined function automatically. Our package can utilize both forward and reverse modes. Additionally, we also allow users to define their own seeds vector for the Jacobian Matrix and the option to generate the computational graph associated with the input function.
To install, run the following command in your terminal
pip install undefined_AD
For details instruction on how to use this package, please follow the steps in the usage page.
Group Number:
Group 1
Group Members:
Xinran Tang [email protected]
Renhao Luo [email protected]
Chelse Swoopes [email protected]
Shijia Zhang [email protected]
Harvard University, Fall 2021