cyclotomicextension's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
huggingface/accelerate
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
patrick-kidger/equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
bgavran/Category_Theory_Machine_Learning
List of papers studying machine learning through the lens of category theory
idrl-lab/PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
dvgodoy/PyTorchStepByStep
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
NeuroDiffGym/neurodiffeq
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
gordicaleksa/get-started-with-JAX
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
kerasking/book-1
book
jdtoscano94/Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
PredictiveIntelligenceLab/jaxpi
Raocp/PINN-laminar-flow
Physics-informed neural network for solving fluid dynamics problems
levimcclenny/SA-PINNs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
Jing--Li/book
book
techqueria/data-structures-and-algorithms
Let's go over data structures and algorithms together. We will use Cracking the Coding Interview as reference
Shengfeng233/PINN-for-NS-equation
A pytorch implementaion of physics informed neural networks for two dimensional NS equation
maziarraissi/DeepVIV
Deep Learning of Vortex Induced Vibrations
BhorisDhanjal/MathsRevisionCheatSheets
A few Mathematics Revision Cheat Sheets I've made on LaTeX.
Alexzihaohu/NSFnets
PINN in solving Navier–Stokes equation
stnamjef/SPINN
Source code for Separable PINN
Shengfeng233/PINN-for-turbulence
A pytorch implementation of several approaches using PINN to slove turbulent flow
raj-brown/APMA_2070_ENGN_2912_SPRING_2024
ZPZhou-lab/tfkan
The tensorflow implementation of KANs
Scien42/NSFnet
PINNs for 2D Incompressible Navier-Stokes Equation
bessagroup/3dasm_course
Data-Driven Design & Analysis of Structures & Materials (3dasm)
kacperkan/drawio2pdf
Script to convert your beautiful draw.io diagrams into tikz-like figures! 📈
somdattagoswami/Approximating-StiffKinetics
thefundamentaltheor3m/SU-Theory-in-python
An attempt to implement the basics of Shestakov-Umirbaev Theory in python as part of a group research project for university.