VarunV·Feb 24On the pursuit of AutoDiffIn our pursuit of automatic differentiation, we turn to Tesseracts: containerized “differentiable modules” that wrap an arbitrary…
mntsx·Sep 2, 2025Introducing THOAD, Performant Arbitrary Order Derivatives for PyTorch GraphsPresenting the Package
S·Mar 31, 2025Let the Machine Do the Derivatives! (Super-Basic Intro)If you want your deep learning model to work well, the main thing it needs to do is reduce loss — in other words, make fewer mistakes. So…
MohammadReza Gholami·Feb 20, 2024Automatic DifferentiationUnderstanding Automatic Differentiation in TensorFlow
InCantor’s ParadisebyJacopo Tagliabue·Jan 9, 2024Marginally Important: Automatic Differentiation with Dual NumbersA brief (and inaccurate) history of derivatives, with a brief (and incomplete) Python implementationA response icon1
