FenchylFeng's Stars
bailicangdu/vue2-elm
Large single page application with 45 pages built on vue2 + vuex. 基于 vue2 + vuex 构建一个具有 45 个页面的大型单页面应用
bailicangdu/vue2-happyfri
vue2 + vue-router + vuex 入门项目
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
tum-pbs/PhiFlow
A differentiable PDE solving framework for machine learning
idrl-lab/PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
gusye1234/LightGCN-PyTorch
The PyTorch implementation of LightGCN
ywmoyue/biliuwp-lite
哔哩哔哩UWP Lite
google/jax-cfd
Computational Fluid Dynamics in JAX
jayroxis/PINNs
PyTorch Implementation of Physics-informed Neural Networks
Shengfeng233/PINN-for-NS-equation
A pytorch implementaion of physics informed neural networks for two dimensional NS equation
Alexzihaohu/NSFnets
PINN in solving Navier–Stokes equation
chen-yingfa/pinn-torch
PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
SakuraKoi/FuckKookObs
Allow Kook voice chat while OBS or Bilibili LiveHime running
Shengfeng233/PINN-for-turbulence
A pytorch implementation of several approaches using PINN to slove turbulent flow
Raocp/PeRCNN
Physics-encoded recurrent convolutional neural network
Shengfeng233/PINN-MPI
parallel PINNs; RANS equations; spatiotemporal parallel; PINNs
jpzxshi/learner
Coldmooon/weibo-image-crawler
免费爬取特定微博中的所有收费高清大图、livephoto动图、高清视频,无需登录
saadnaeem-dev/pytorch-linear-warmup-cosine-annealing-warm-restarts-weight-decay
PyTorch learning rate scheduler CosineAnnealingWarmRestarts with initial linear warmup for n steps followed by wight decay in consecutive cycles
CS-icez/introduction-to-computer-systems
F22 PKU course “Introduction to Computer System” (ICS) lab solutions. Top 1 in archlab and malloclab.
lionelchg/PlasmaNet
Solving elliptic differential equations using neural networks in plasma fluid simulations. Mirror repository of https://gitlab.com/cerfacs/plasmanet
Raocp/Discover-PDE-with-Noisy-Scarce-Data
ICLR2022: Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
Panda000001/PINN-POD
This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data through deep-learning-strengthened proper orthogonal decomposition"
lnhang0618/field_inversion