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lmfit
uncertainties

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

2.1M 665 85
hdembinski
jacobi

Numerical derivatives for Python

351K 52 6
andgoldschmidt
derivative

Optimal numerical differentiation of noisy time series data in python.

35K 68 9
dpeerlab
palantir

Single cell trajectory detection

6K 309 61
oberbichler
hyperjet

Automatic differentiation with dual numbers

5K 17 4
Brogis1
eigh

Differentiable eigenvalue decomposition with JAX (CPU/GPU)

5K 2 0
RishabSA
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.

4K 6 0
Technologicat
wlsqm

Fast and accurate weighted least squares meshless interpolator for Python

2K 19 4
oberbichler
hypergraph

Reversed mode second order automatic differentiation for python (WIP)

1K 4 0
jeppe742
autodiff

No description available

459 0 0
MrRhuezzler
delta-dx

A Symbolic Differentiator

162 5 0
andgoldschmidt
primelab

Optimal numerical differentiation of noisy time series data in python.

156 69 9
ulf1
numpy-fracdiff

Fractional differentiation as numpy function

115 7 3
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