Pinned Repositories
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咸鱼翻身微信小程序
AirfoilFormer
Airfoil flow construction by using deep learning method.
Attention-mechanism-implementation
Self-attention、Non-local、SE、SK、CBAM、DANet
BatchFormer
CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
CAE_LSTM_ROMS
Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"
CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
coord-trans-encoding
This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。
Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
Deep-learning-in-turbulent-convection-networks
Analysis of turbulent convection images using a U-net resulting in a publication in PNAS.
JoeroyaI's Repositories
JoeroyaI/BatchFormer
CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
JoeroyaI/-
咸鱼翻身微信小程序
JoeroyaI/AirfoilFormer
Airfoil flow construction by using deep learning method.
JoeroyaI/Attention-mechanism-implementation
Self-attention、Non-local、SE、SK、CBAM、DANet
JoeroyaI/CAE_LSTM_ROMS
Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"
JoeroyaI/CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
JoeroyaI/coord-trans-encoding
This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"
JoeroyaI/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。
JoeroyaI/Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
JoeroyaI/Deep-learning-in-turbulent-convection-networks
Analysis of turbulent convection images using a U-net resulting in a publication in PNAS.
JoeroyaI/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
JoeroyaI/DeepCFD
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
JoeroyaI/DeepLearning
Notebook of DeepLearning.
JoeroyaI/DL-ROM
Deep Learning for Reduced Order Modelling
JoeroyaI/ML-ROM_Various_Shapes
This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes"
JoeroyaI/mnist_classify
尝试SVM,CNN,RF分类MNIST
JoeroyaI/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
JoeroyaI/pygeo-tutorial
Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )
JoeroyaI/Solver-in-the-Loop
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
JoeroyaI/Stone-language
Two weeks of homemade scripting language notes and source code. If you think it's good, give me a star.
JoeroyaI/test
This is a description.
JoeroyaI/unet
unet for image segmentation
JoeroyaI/Voronoi-CNN
Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 2021)