Search Packages

uncertainties

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

jacobi

Numerical derivatives for Python

derivative

Optimal numerical differentiation of noisy time series data in python.

palantir

Single cell trajectory detection

hyperjet

Automatic differentiation with dual numbers

eigh

Differentiable eigenvalue decomposition with JAX (CPU/GPU)

autoneuronet

AutoNeuroNet is a fully implemented automatic differentiation engine with custom matrices, a full neural network architecture, and a training pipeline. It comes with Python bindings via PyBind11, enabling quick, easy network development in Python, backed by C++ for enhanced speed and performance.

wlsqm

Fast and accurate weighted least squares meshless interpolator for Python

hypergraph

Reversed mode second order automatic differentiation for python (WIP)

autodiff

No description available

delta-dx

A Symbolic Differentiator

primelab

Optimal numerical differentiation of noisy time series data in python.

numpy-fracdiff

Fractional differentiation as numpy function