Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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Jan 7, 2026 - Python
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autodifferentiation
Here are 22 public repositories matching this topic...
Drop-in autodiff for NumPy.
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Dec 24, 2025 - Python
XLuminA, a highly-efficient, auto-differentiating discovery framework for super-resolution microscopy.
simulation artificial-intelligence gpu-acceleration optics polarization jax autodifferentiation super-resolution-microscopy
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May 19, 2025 - Python
A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.
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Sep 12, 2021 - Python
Yaae: Yet another autodiff engine (written in Numpy).
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Jul 6, 2023 - Python
A differentiable underwater vehicle dynamics.
python euler cpp robotics optimization code-generation sympy quaternions jacobian symbolic-computation underwater marine differentiable-programming autodifferentiation casadi
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Jan 8, 2026 - Python
Experiments with forward gradients on optimization test functions
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Sep 23, 2022 - Python
Assignments for Data Intensive Systems for Machine Learning Coursework
deep-learning matrix-multiplication autodiff glow tvm machine-learning-systems autodifferentiation graph-executor
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Mar 24, 2023 - Python
Fork of Matt Loper's autodifferentiation framework for Python
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Sep 28, 2019 - Python
Dualitic is a Python package for forward mode automatic differentiation using dual numbers.
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Aug 1, 2024 - Python
Tiny automatic differentiation (autodiff) engine for NumPy tensors implemented in Python.
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Oct 28, 2021 - Python
Autograd: is a lightweight Python engine for automatic differentiation and neural networks, providing a clear, educational implementation of backpropagation and computational graphs.
python pytorch autograd feedforward-neural-network backpropagation autodifferentiation pytorch-implementation autograd-engine
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Nov 11, 2025 - Python
Yet another tensor automatic differentiation framework
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Jul 25, 2024 - Python
ToyDL: Deep Learning from Scratch
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Dec 22, 2025 - Python
PyPIC3D is a 3D particle-in-cell code written in Python using Jax.
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Jan 8, 2026 - Python
A toy forward-mode autodiff utility written in Python
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Aug 7, 2021 - Python
A simple library for building computational graphs with autodiff support.
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Jul 31, 2019 - Python
A brief (and inaccurate) history of derivatives, with a brief (and incomplete) Python implementation
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Jan 9, 2024 - Python
zapnAD: An auto-differentiation package.
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Dec 3, 2024 - Python
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