📍 A Swift fork working towards Enzyme integration
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Updated
Mar 8, 2023 - C++
📍 A Swift fork working towards Enzyme integration
A wrapper around R's optimisation routines where function gradients are computed with auto-diff
Some deep learning library, cleaner than the last ones, but not faster
Neural networks and backprop in Java
A simple library for building computational graphs with autodiff support.
micrograd (smol autodiff lib by @karpathy) ported into various languages
Implementation of Forward Automatic Differentiation of Real Valued Functions with multiple threads
Gograd is a small automatic differentiation framework written in Go.
Example for using Enzyme within a Swift Package Manager package
Implementation of a mini automatic diferentiation library, based on Andrej Karpathy Minigrad lib
An auto-differentiation engine for arbitrary tensors written from scratch in C++.
Interest Rate Derivatives pricing library for my master's thesis in Economics af the department of Economics, University of Copenhagen.
A reverse-mode automatic differentiation package
Implementation of propagation of uncertainty using dual numbers
A small C++ Autograd library which implements backpropagation (reverse mode autodiff)
Automatic differentiation playground
Simple automatic differentiation implementation in python
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