samuelge's Stars
Hank0626/PDF
An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)
yxbian23/aLLM4TS
[ICML2024] Official repo for paper "Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning"
moment-timeseries-foundation-model/moment
MOMENT: A Family of Open Time-series Foundation Models
ts-kim/RevIN
RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift
ddz16/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
lixus7/Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
do-mpc/do-mpc
Model predictive control python toolbox
NEGU93/cvnn
Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end
wavefrontshaping/complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
Brave-peng/books
各类闲书分享(equb版本,ipad可直接打开阅读)
PKUFlyingPig/cs-self-learning
计算机自学指南
Casxt/SortReference
Sort the bibliography by citation order.
upupming/zhr-action-demo
浙江大学健康打卡自动打卡脚本 GitHub Action 例子,只需一步 Fork 即可使用,每天定时帮你自动打卡。
DAMO-DI-ML/ICML2022-FEDformer
Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
cfeng783/NSIBF
Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
min-gyu-kang/Anomaly_Detection
MD,LSTM-AE,VAE-MAD-GAN
d-ailin/GDN
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)
locuslab/mpc.pytorch
A fast and differentiable model predictive control (MPC) solver for PyTorch.
MAZiqing/FEDformer
jiangleiundo/books
my books
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
elisejiuqizhang/USAD-on-WADI-and-SWaT
Unofficial implementation of the KDD2020 paper "USAD: UnSupervised Anomaly Detection on multivariate time series" on two datasets cited in the papers, "SWaT" (Secure Water Treatment) and "WADI" (Water Distribution)
manigalati/usad
FighterLYL/GraphNeuralNetwork
《深入浅出图神经网络:GNN原理解析》配套代码
LYuhang/GNN_Review
GNN综述阅读报告
ari-dasci/S-TSFE-DL
Time Series Feature Extraction using Deep Learning
fraunhoferportugal/tsfel
An intuitive library to extract features from time series.
joeynmt/joeynmt
Minimalist NMT for educational purposes
squareRoot3/Rethinking-Anomaly-Detection
"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022