📍 A Swift fork working towards Enzyme integration
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Updated
Mar 8, 2023 - C++
📍 A Swift fork working towards Enzyme integration
Differentiable computing on R^N metric spaces
Simple automatic differentiation tool.
Automatic differentiation: A tool that allows you to calculate multivariable equations, vectors, matrices, and more. All done in C++, no libraries!
A wrapper around R's optimisation routines where function gradients are computed with auto-diff
Reverse-mode autodiff for Clojure
Some deep learning library, cleaner than the last ones, but not faster
Neural networks and backprop in Java
Lightweight automatic differentiation and error propagation library
A simple library for building computational graphs with autodiff support.
A simple and pythonic deep learning framework
Differentiable reparameterization of matrices with orthogonal columns.
Automatic differentiation in Rust for educational purposes. Autograd / tinygrad / micrograd / gradients.
TensorFlow implementation of differentiable LQ matrix decomposition for all matrix orders.
C++20 numerical and analytical derivative computations
micrograd (smol autodiff lib by @karpathy) ported into various languages
An automatic differentiation library written in Python with NumPy vectorization.
Machine Learning models for large datasets
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