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sashahexe
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Bambu Lab Home Assistant Spaghetti Detection Integration.
A Home Assistant Integration for Bambu Lab Printers
Implementation of fast PINN optimization with RBA weights
Non-adaptive and residual-based adaptive sampling for PINNs
One stop shop web app for paraglider pilots. Plan, visualize, and track your flights.
A simple, elegant LaTeX template with dark mode support
This is open-source implementation of MixedAE (https://arxiv.org/pdf/2303.17152.pdf)
🤖 Machine Learning Summer School deadlines
ETH course - Solving PDEs in parallel on GPUs
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Example problems in Physics informed neural network in JAX
EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes Matlab finite-differences solver for data generation.
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
Physics-Informed Neural networks for Advanced modeling
Lanchonlh HG-UV98 Russian Manual (инструкция на русском)
2
Updated Apr 7, 2023
Grid-based approximation of partial differential equations in Julia
Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks
Training an RBF(Radial Basis Function) Neural Network for function approximation. (2019)
Predicting wind speed using Radial basis function neural network
Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.
Minimal implementation of a radial basis function network.
An implementation of an RBF layer/module using PyTorch.
The coding exercises of a course about inverse problems and bayesian probability theory at Graz University of Technology