In this university project, genetic programming is used to approximate the function
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Updated
Jul 19, 2024 - Python
In this university project, genetic programming is used to approximate the function
This project is a simple animation of Fourier series, approximating a function using a sum of sine and cosine functions.
Approximate a function in a single qubit using data-reuploading.
Local function approximation (LFA) framework, NeurIPS 2022
Estimation of a non-linear function using neural networks
Practical experiments on Machine Learning in Python. Processing of sentences and finding relevant ones, approximation of function with polynomials, function optimization
This repository contains numerical methods for finding solutions of a nonlinear equation as well as to approximate functions from a dataset of (x, y) points.
A generic implementation of multi layer perceptron neural networks, including some visual tools. Contains example of using the neural network classes for function approximation.
Dash App for visualizing function approximations by polynomials.
A short and sweet library handling uncertainty in calculations. Can use both standard, probabilistic uncertainties and maximal uncertainties for arbitrary functions over arbitrary variables.
An implementation of multilayer perceptron(MLP) on function approximation.
Many different Neural Networks in Python Language. This repository is an independent work, it is related to my 'Redes Neuronales' repo, but here I'll use only Python.
Reinforcement learning algorithms
Easy21 assignment from David Silver's RL Course at UCL
CSE 571 Artificial Intelligence
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