A derivative calculator and equation simplifier in Python.
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Dec 14, 2018 - Python
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derivatives
Here are 376 public repositories matching this topic...
Algorithm to reconstruct trajectories from sensor data
python integration trigonometry derivatives sensor-data trajectories reconstruct-trajectories reconstruction-algorithm
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Oct 2, 2019 - Python
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May 5, 2021 - Vue
A side project I'm working on that is able to do a lot of mathematics-related things.
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Jun 15, 2022 - Python
Código referente aos estudos da disciplina de Introdução à Estatística do curso de Sistemas de Informação da EACH
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Aug 2, 2021 - Python
Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.
python framework ai neural-network numpy cnn neural-networks derivatives adagrad rmsprop softmax adam-optimizer sgd-optimizer numpy-neural-network nnfs sigmoid-activation relu-activation mnist-fashion-classification
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Oct 21, 2021 - Python
This is a simple computational algebra system written in haskell
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Jul 7, 2021 - Haskell
The course covers integration, applications of integration, and series, while also reviewing and expanding upon concept introduced in Calculus 1 such as limits and derivatives.
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Dec 18, 2021 - TeX
Derivative pricing ❤️ free monads
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Mar 7, 2024 - Scala
Funções matematicas em JavaScript
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Jun 24, 2024 - JavaScript
python implementation of forward rate modeling
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May 7, 2019 - Python
Specialization in Mathematical Engineering from the Universidad Politecnica de Valencia
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Jun 17, 2020
Options/Margin API for Derivatives
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Feb 25, 2021 - HTML
Some Overview Of Financial Derivatives
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Nov 17, 2022 - Python
Calculadora e geradora de gráficos com React
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Dec 17, 2023 - JavaScript
I build the Micrograd autogradient engine, which is a functioning neural network with forward pass, backward propagation, and stochastic gradient descent, all built from scratch. This is derived from the great @karpathy micrograd lecture. Each notebook is complete with Andrei's lecture code and speech, as well as my own code, anecdotes and addition
machine-learning calculus numpy pytorch neural-networks derivatives stochastic-gradient-descent backward-propagation binaryclassification
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Jul 21, 2024 - Jupyter Notebook
Making the Complex Simple
csharp calculus math unity complex-numbers graphing derivatives unity2d integrals imaginary-numbers real-numbers
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Jan 24, 2025 - ShaderLab
A Fully Differentiable Solver for the Anisotropic Eikonal Equation
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Feb 12, 2025 - Python
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