Bensayah Abdallah's repositories
advanced_machine_learning
Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"
basic-pinn
Basic implementation of physics-informed neural networks for solving differential equations
bensayahabdallah.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
characterizing-pinns-failure-modes
Characterizing possible failure modes in physics-informed neural networks.
csinva.github.io
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
deepcontrol
this repository contains the code used in the examples described in the "Numerical experiments" section of the manuscript "A first step towards controllability of partial differential equations vin physics-informed neural networks", (2022), by Carlos J. García-Cervera, Mathieu Kessler and Francisco Periago.
desktop
Simple collaboration from your desktop
diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
DINN
Disease Informed Neural Networks (DINNs) — neural networks capable of learning how diseases spread, forecasting their progression, and finding their unique parameters (e.g. death rate).
DLforCompMath
A repository of jupyter hub tutorials for the PIMS CRG Summer School: "Deep Learning for Computational Mathematics."
HaizhaoYang.github.io
The webpage of Haizhao Yang
harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
jupyterlab-drawio
A standalone embedding of the FOSS drawio / mxgraph package into jupyterlab
Learning-PINNs-in-Python-Physics-Informed-Machine-Learning
Physics informed Machine Learning tutorial (Pytorch and Jax)
machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
ML_course
EPFL Machine Learning Course, Fall 2021
neural-tangents
Fast and Easy Infinite Neural Networks in Python
PINA
Physics-Informed Neural networks for Advanced modeling
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
python-random-quote
A file-based quote bot written in Python
pytorch-Deep-Learning
Deep Learning (with PyTorch)
sbinn
SBINN: Systems-biology informed neural network
sciml
Scientific Machine Learning Tutorials