SmartTensors / NTFk.jlView external linksLinks
Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
☆10Oct 19, 2025Updated 3 months ago
Alternatives and similar repositories for NTFk.jl
Users that are interested in NTFk.jl are comparing it to the libraries listed below
Sorting:
- Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…☆11Jul 9, 2024Updated last year
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- The Pharo-AI Wiki☆17Dec 8, 2025Updated 2 months ago
- Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆17Feb 8, 2026Updated last week
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆19Nov 26, 2025Updated 2 months ago
- ☆12Aug 22, 2025Updated 5 months ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 2 years ago
- A repository for the discussion of PDE tooling for scientific machine learning (SciML) and physics-informed machine learning☆18Jan 8, 2026Updated last month
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Dec 8, 2023Updated 2 years ago
- implementation of physics-informed variational auto-encoder☆20Oct 26, 2023Updated 2 years ago
- A widget framework on top of Bloc☆30Feb 8, 2026Updated last week
- Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with long sho…☆40Nov 11, 2024Updated last year
- Tensoflow 2 implementation of physics informed deep learning.☆27Sep 12, 2020Updated 5 years ago
- Bayesian optimized physics-informed neural network for parameter estimation☆33Nov 20, 2024Updated last year
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- ☆16Nov 2, 2025Updated 3 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆32Dec 24, 2021Updated 4 years ago
- Physics-informed radial basis network☆36May 20, 2024Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37Nov 13, 2025Updated 3 months ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- ☆14Updated this week
- EOSIO-Taurus - The Most Powerful Infrastructure for Decentralized Applications☆13Mar 29, 2024Updated last year
- ☆17Apr 18, 2024Updated last year
- This project discovers equations from data using SINDy (sparse identification on nonlinear dynamics).☆11Mar 22, 2022Updated 3 years ago
- Source code for the paper "Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learning"☆12Apr 12, 2024Updated last year
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Apr 5, 2023Updated 2 years ago
- This repository is a guided tutorial on Pseudo-Spectral method that in long run can help as a basis for study material on Direct Numerica…☆12Sep 23, 2021Updated 4 years ago
- Smart Tensors Tutorials☆10Oct 19, 2025Updated 3 months ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Nov 18, 2024Updated last year
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- Not just a PDE toolbox. Adapt your ideas from a clean, modular code base with Femeko.☆15Feb 6, 2026Updated last week
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated last month
- Generalized sparse regression for continuous and discrete data☆12Dec 12, 2025Updated 2 months ago
- Firefox and Chrome compatible extension that acts as annotation tool for websites (Named Entity Recognition)☆10Feb 17, 2019Updated 6 years ago
- 深度学习之神经网络核心原理与算法-课程学习相关代码☆12Aug 18, 2018Updated 7 years ago
- This repository consists of two-step training DeepONet code.☆14May 22, 2024Updated last year
- ☆11Mar 31, 2021Updated 4 years ago
- ☆14Nov 10, 2021Updated 4 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago