justgoinggoxixi's Stars
shap/shap
A game theoretic approach to explain the output of any machine learning model.
justgoinggoxixi/AI4CFD-NS
omniscientoctopus/Physics-Informed-Neural-Networks
Investigating PINNs
i207M/PINNacle
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
idrl-lab/PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Jack-Cherish/Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
rezaakb/pinns-torch
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
luo-yining/CFDBench
A large-scale benchmark for machine learning methods in fluid dynamics
erfanhamdi/pinn-torch
Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose
jayroxis/PINNs
PyTorch Implementation of Physics-informed Neural Networks
jaywcjlove/reference
为开发人员分享快速参考备忘清单(速查表)