Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
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Updated
May 21, 2024 - Jupyter Notebook
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
Approximating nonlinear functions with low-rank spiking networks
A collection of B-spline tools in Julia
An adaptive fast function approximator based on tree search
Instant neural graphics primitives: lightning fast NeRF and more
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
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.
Adaptively sampled distance fields in Julia
Basis Function Expansions for Julia
This project is a simple implementation of a neural network with gradient descent optimization from scratch. The goal of this project is to demonstrate how a neural network works and how the gradient descent algorithm can be used to optimize its parameters.
Distributed and Asynchronous Algorithm for Smooth High-dimensional Function Approximation using Orthotope B-splines
Library for multivariate function approximation with splines (B-spline, P-spline, and more) with interfaces to C++, C, Python and MATLAB
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