Ceyron / machine-learning-and-simulation
All the handwritten notes π and source code files π₯οΈ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
β927Updated 3 weeks ago
Alternatives and similar repositories for machine-learning-and-simulation:
Users that are interested in machine-learning-and-simulation are comparing it to the libraries listed below
- Computational Fluid Dynamics in JAXβ784Updated 5 months ago
- A flexible framework for solving PDEs with modern spectral methods.β533Updated this week
- Physics-Informed Neural networks for Advanced modelingβ423Updated this week
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, iβ¦β719Updated 6 months ago
- β423Updated last month
- A differentiable PDE solving framework for machine learningβ1,540Updated this week
- Differentiable Fluid Dynamics Packageβ359Updated this week
- Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organizationβ552Updated this week
- Python package for solving partial differential equations using finite differences.β424Updated this week
- β251Updated 2 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learningβ822Updated this week
- β186Updated 6 months ago
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methodβ¦β1,162Updated this week
- β181Updated last year
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Syβ¦β863Updated last year
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNsβ¦β347Updated last month
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated sβ¦β1,023Updated 3 weeks ago
- β239Updated 2 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by meansβ¦β170Updated 3 years ago
- Simple finite element assemblersβ533Updated 3 months ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)β495Updated 2 months ago
- Curated list for ML in FMβ193Updated 2 months ago
- Python Dynamic Mode Decompositionβ919Updated 3 weeks ago
- Lagrangian Neural Networksβ475Updated 7 months ago
- Deep learning for Engineers - Physics Informed Deep Learningβ329Updated last year
- β398Updated 11 months ago
- Welcome to the Physics-based Deep Learning Book (v0.2)β1,035Updated last month
- Using graph network to solve PDEsβ370Updated last year
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical sβ¦β285Updated last week
- β848Updated this week