liyuyan1

liyuyan1's Stars

• xuqing88/Reinforced-Cross-Domain-Knowledge-Distillation-on-Time-Series-Data

  This repository is a PyTorch implementation for NIPS 2024 Paper "Reinforced Cross-Domain Knowledge Distillation on Time Series Data".

  Language:Python7

• BigBrotherTrade/trader

  交易模块

  Language:Python6k1.3k

• Y-debug-sys/Diffusion-TS

  [ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"

  Language:Jupyter Notebook27134

• ChenQian0618/TFN

  this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Fault Diagnosis".

  Language:Python10917

• HazeDT/DAGCN

  This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

  Language:Python14837

• ShaneSpace/DGFDBenchmark

  This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis

  Language:Python7310

• YNWA-Zhang/CSMPN

  Language:Python121

• YizongZhang/HDMTL

  Spatio-Temporal feature Adaptive Sharing

  Language:Jupyter Notebook5

• Xiaohan-Chen/TFPred

  An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis

  Language:Python544

• JakeJiUThealth/SESAD_V1.0

  A Space-embedding Strategy for Anomaly Detection in Multivariate Time Series

  Language:Python62

• mqwfrog/ULTS

  ULTS: A unified and standardized library of unsupervised representation learning approaches for time series

  Language:Python442

• mohamedr002/AMDA

  This is an implementation of single source multiple target domain adaptation for fault diagnosis

  Language:Jupyter Notebook4415

• mohamedr002/CADA

  This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.

  Language:Python465

• emadeldeen24/TS-TCC

  [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

  Language:Python405103

• erikbern/ann-benchmarks

  Benchmarks of approximate nearest neighbor libraries in Python

  Language:Python5.2k786

• mims-harvard/UniTS

  A unified multi-task time series model.

  Language:Python51571

• mims-harvard/Raindrop

  Graph Neural Networks for Irregular Time Series

  Language:Python18641

• mims-harvard/G-Meta

  Graph meta learning via local subgraphs (NeurIPS 2020)

  Language:Python12128

• mims-harvard/Raincoat

  Domain Adaptation for Time Series Under Feature and Label Shifts

  Language:Jupyter Notebook11711

• patrick-kidger/NeuralCDE

  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

  Language:Python64570

• emadeldeen24/CA-TCC

  [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

  Language:Python13835

• mohamedr002/CCDG

  Conditional Contrastive Domain Generalization For Fault Diagnosis

  Language:Python323

• mohamedr002/SLARDA

  Language:Python378

• gzerveas/mvts_transformer

  Multivariate Time Series Transformer, public version

  Language:Python811177

• zhihanyue/ts2vec

  A universal time series representation learning framework

  Language:Python667157

• mims-harvard/TFC-pretraining

  Self-supervised contrastive learning for time series via time-frequency consistency

  Language:Python46685

• DAMO-DI-ML/NeurIPS2023-One-Fits-All

  The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

  Language:Python53477

• KimMeen/Awesome-GNN4TS

  [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

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