Tangent: Source-to-Source Debuggable Derivatives – Google AI Blog
Automatic Differentiation Part 2: Implementation Using Micrograd - PyImageSearch
Automatic Differentiation Part 1: Understanding the Math - PyImageSearch
auto_diff: AN AUTOMATIC DIFFERENTIATION PACKAGE FOR PYTHON
Automatic differentiation - Wikipedia
Reverse-mode automatic differentiation: a tutorial - Rufflewind's Scratchpad
Automatic Differentiation with torch.autograd — PyTorch Tutorials 2.0.0+cu117 documentation
GitHub - ujjwalkhandelwal/Dual-numbers-and-automatic-differentiation-using- Python: Implemented the forward mode of automatic differentiation with the help of dual numbers using Python.
PDF] A Brief Introduction to Automatic Differentiation for Machine Learning | Semantic Scholar
Dougal Maclaurin
Generalization of differential ray tracing by automatic differentiation of computational graphs
Automatic Differentiation in Python and PyTorch - YouTube
Sellforte | Automatic differentiation, differentiable programming, and Bayes
GitHub - ujjwalkhandelwal/Dual-numbers-and-automatic-differentiation-using- Python: Implemented the forward mode of automatic differentiation with the help of dual numbers using Python.
A Gentle Introduction to Automatic Differentiation | by Pablo Monteagudo Lago | Towards AI
Automatic Differentiation — Python Like You Mean It