isfanyang Goto Github PK

3waysbypde

This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.

acse-9-independent-research-project-fy120

ar-pde-cnn

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

hierarchical-neural-autoencoder

hierarchicalautoencoder_keras

hqa

Code to accompany the paper "Hierarchical Quantized Autoencoders"

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

linuxlearning

参考B站韩顺平老师的Linux课程

neurodiffeq

A light-weight & flexible library for solving differential equations using neural networks based on PyTorch. Spatial-temporal ODEs and PDEs are both supported.

nnpde

CS230 Project: Deep Learning for PDE

nvae

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

pinn_burgers

Physics Informed Neural Network (PINN) for Burgers' equation.

sfc-cae-ready-to-use

A handy tool to utilize SFC-CAE

spdenn

A Discussion on Solving Partial Differential Equations using Neural Networks