Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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Updated
Jan 21, 2026 - Python
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
Optimal numerical differentiation of noisy time series data in python.
Implementing (parts of) TensorFlow (almost) from Scratch
👾 numerical methods for physics from grad school at stony brook
Fractional differentiation as numpy function
A Symbolic Differentiator
ANDA: An open-source tool for automated image analysis of in vitro neuronal cells
Laplace Transform , Inverse Transform, for differentiation & Integration
Finite difference matrix operators for performing numerical differentiation in python.
Numerical Analysis algorithms in Python and Octave
Discord bot that can read crypto markets and calculate rates of change.
Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations
A python based GUI software to do most common STEM math operations
Differentiable generalized eigensolver in JAX. Extracted from PYSCFAD implementation.
The ultimate tool for basic and advanced calculus, including plotting, derivatives, limits, and more.
Variational Inference with Numerical Derivatives: variance reduction through coupling
A symbolic integration calculator built from scratch (no CAS libraries for the core). UI and secondary utilities may use libraries, but the integration engine, parser, AST, simplifier, differentiation, and rule system are handwritten.
Direct Warper implementation used in my PhD thesis (2019)
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