Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.

A collection of B-spline tools in Julia

This repository contains mathematica code to obtain a general function approximation interpolating points using fourier theory with a graphical representation to grasp the physical meaning.

Fast radial basis function interpolation for large scale data

Suite of 1D, 2D, 3D demo apps of varying complexity with built-in support for sample mesh and exact Jacobians

• Artificial Intelligence • In this project we aim to train an artificial neural network to approximate a function of a discrete dynamical system.

In this university project, genetic programming is used to approximate the function

This project was made to showcase a sample example of muli-threading in the C programming language.

This project is a simple animation of Fourier series, approximating a function using a sum of sine and cosine functions.

Approximating nonlinear functions with low-rank spiking networks

An adaptive fast function approximator based on tree search

Instant neural graphics primitives: lightning fast NeRF and more

Repository containing python notebooks used to teach the lab classes of the curricular unit "Numerical Methods (M2039)" at FCUP, Portugal, in study year 2023/2024

Julia Wrapper to the Tasmanian library

Using ML to predict ramaining time of rechargable batteries

Julia library for function approximation with compact basis functions

Jupyter notebooks implementing Reinforcement Learning algorithms in Numpy and Tensorflow

Reinforcement Learning (COMP 579) Project

TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.

Approximate a function in a single qubit using data-reuploading.