A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
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Automatic Differentiation GitHub Repositories (2026) · Open Source Tools
Discover the best Automatic Differentiation open source repositories on GitHub. Explore trending tools, live star counts, source code, and developer projects updated daily.
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6 matching projects · updated Nov 14, 2026
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PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
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A JIT compiler for hybrid quantum programs in PennyLane
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The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
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The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
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Universal components for differentiable scientific computing. :package:
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