ysifan Goto Github PK

ae-convlstm-flow-dynamics

This repository contains an Auto-encoder ConvLSTM network (Pytorch) which can be used to predict a large number of time steps (100+). The network prediction is sequence-to-sequence which works well to predict 5 to 10-time steps in one pass through the neural network. The network is trained for unsteady fluid simulations using data. Another training

attention-clx-stock-prediction

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

autoencoder

个人练习，自编码器及其变形（理论+实践）

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

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60多个国家的400多所大学用于教学。

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

physics-informed-neural-networks-for-direct-and-inverse-fluid-flow-problems

pod-rbf

Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network

pydmd

Python Dynamic Mode Decomposition

pynirom

Python tools for non-intrusive reduced order modeling

snirom

Standardized Non-Intrusive Reduced Order Modeling

spod_python

Pythonic spectral proper orthogonal decomposition

tec-prediction-based-on-sam-convlstm

translators_cn

Zotero translator中文网页抓取插件

voronoi_cnn_with_paddlepaddle

本项目基于 PaddlePaddle 框架复现使用 TensorFlow 框架的Voronoi镶嵌辅助深度学习稀疏传感器全局场重建技术。This project is based on the PaddlePaddle framework to replicate the global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning technique using the TensorFlow framework.

ysifan

Config files for my GitHub profile.

zotero-pdf-translate

PDF translation add-on for Zotero 6