michaellee666

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

HorizonNet

Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.

zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

DSANet

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

libo

LTSF-Linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

README

README文件语法解读，即Github Flavored Markdown语法介绍

SPADE

Semantic Image Synthesis with SPADE

ss-gan

Style and Structure GAN (ECCV 2016)

TensorFlow_Learn

Tensorflow教程学习

test

tset

time-series-analysis

Collection of notebooks for time series analysis

VFSForGit

Virtual File System for Git: Enable Git at Enterprise Scale

WestNileVirusPrediction_2015

This was done for a data mining competition at Kaggle (https://www.kaggle.com/c/predict-west-nile-virus). Final rank was 385 out of 1300 participants.

work1

数据探索性分析与数据预处理

work2

关联规则挖掘

work3

分类与聚类