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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.

algebra-with-sympy

Tools for doing stepwise algebra in an on paper like manner using SymPy.

composite-resolve

Evaluate Python functions at points where they're undefined.

emlib

Miscellaneous utilities (text handling, maths, iterators, etc.)

py-nabla

∇ Nabla: A production-grade, LaTeX-first mathematical computing library for Python. Bridges symbolic and numeric analysis with a robust Earley Parser. 🚀

decom

🗑️🦷 decOM 🦷🗑️

riemann

A C-extended Python package for numerical differential and integral multivariable calculus

differint

Python package for calculating fractional derivatives.

handyderivatives

Calc. on the command line - with LaTeX output.

area-under-curve

Python module to calculate area under a curve

pydelt

Advanced numerical function interpolation and differentiation with universal API, multivariate calculus, window functions, and stochastic extensions

arflab

Mathematical Environment Library in Python

unimath

Python library for creating a mathematical environment

abjadtools

Utilities to work with abjad and convert to music21

mathflow

Like `requests` for mathematical computing, making complex math feel simple.

geometricshapes

Shapes library. Make calculation shapes easier

differintp

Python package for calculating fractional derivatives.

differintc

Optimized Python package for calculating fractional derivatives implemented in c++.

swel

Real time analysis of raw spectral wave information from NOAA, calculating trends by plotting spectral moments.

pycalco

A powerful arithmetic and symbolic expressions evaluator

eqnp

Symbolic calculus solver and mathematical simplification engine

nbdev-intgrt

a project that implements numeric integration

calculus-of-variations

Project on solving the Calculus of variations problems using symbolic mathematics (2018).

blueberrymath

Open Source Mathematical Package