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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

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

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.