Open-source projects categorized as autodifferentiation | Edit details
Language filter: + C++ + Python + Rust

Top 5 autodifferentiation Open-Source Projects

  • autodiff

    automatic differentiation made easier for C++

    Project mention: Gradients Without Backpropagation | | 2022-03-02

    Forward-mode differentiation is easy to implement in C++ with templates, operator overloading, and dual numbers ( Some libraries such as autodiff ( and CppAD ( use this method.

  • neuronika

    Tensors and dynamic neural networks in pure Rust.

    Project mention: [D] To what extent can Rust be used for Machine Learning? | | 2022-04-14

    Check where and how this struct is used.

  • SonarLint

    Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.

  • uncertainties

    Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

    Project mention: Wind Turbine Blades Can’t Be Recycled, So They’re Piling Up in Landfills (2020) | | 2022-04-07
  • MyGrad

    Drop-in autodiff for NumPy.

  • FastAD

    FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2022-04-14.

autodifferentiation related posts


What are some of the best open-source autodifferentiation projects? This list will help you:

Project Stars
1 autodiff 1,010
2 neuronika 712
3 uncertainties 406
4 MyGrad 138
5 FastAD 48
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