Pinned Repositories
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
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.
HorizonNet
Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.
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
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.
michaellee666's Repositories
michaellee666/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
michaellee666/HorizonNet
Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.
michaellee666/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.
michaellee666/DSANet
Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
michaellee666/ganhacks
starter from "How to Train a GAN?" at NIPS2016
michaellee666/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
michaellee666/libo
michaellee666/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
michaellee666/pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
michaellee666/README
README文件语法解读，即Github Flavored Markdown语法介绍
michaellee666/SPADE
Semantic Image Synthesis with SPADE
michaellee666/ss-gan
Style and Structure GAN (ECCV 2016)
michaellee666/TensorFlow_Learn
Tensorflow教程学习
michaellee666/test
tset
michaellee666/time-series-analysis
Collection of notebooks for time series analysis
michaellee666/VFSForGit
Virtual File System for Git: Enable Git at Enterprise Scale
michaellee666/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.
michaellee666/work1
数据探索性分析与数据预处理
michaellee666/work2
关联规则挖掘
michaellee666/work3
分类与聚类