Thinklab-SJTU / UP2ME

Related projects: ⓘ

• AdityaLab / Time-MMD
  ☆35Updated last month
• AdityaLab / lstprompt
  ☆29Updated last month
• Sam1224 / STCPA
  Official code for "Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training" (CIKM'22).
  ☆10Updated 6 months ago
• AdityaLab / MM-TSFlib
  ☆25Updated last month
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆52Updated last year
• zyplanet / TPGNN
  ☆23Updated 3 months ago
• tsinghua-fib-lab / GPD
  The official implementation of the ICLR 24 submission entitled "Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation…
  ☆35Updated 4 months ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆27Updated 2 weeks ago
• zichuan-liu / TimeXplusplus
  [ICML'24] Official PyTorch Implementation of TimeX++
  ☆12Updated 3 months ago
• JLDeng / SCNN
  ☆23Updated 2 months ago
• RobinLu1209 / ST-GFSL
  ☆38Updated 2 years ago
• idea-iitd / Frigate
  ☆16Updated last year
• Hannibal046 / GridTST
  Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
  ☆13Updated 3 months ago
• behavioral-data / TSandLanguage
  ☆16Updated last month
• alexzhou907 / ls4
  ☆14Updated last year
• DC-research / TEMPO
  The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of …
  ☆47Updated 2 months ago
• panzheyi / AutoSTG
  ☆25Updated 3 years ago
• Chengyui / NuwaTS
  NuwaTS: a Foundation Model Mending Every Incomplete Time Series
  ☆22Updated 3 weeks ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆73Updated last year
• tsinghua-fib-lab / SIRI
  The official PyTorch implementation of "Causal Learning Empowered OD Prediction for Urban Planning" (CIKM 2022).
  ☆9Updated last year
• zichuan-liu / ContraLSP
  [ICLR'24] Official PyTorch Implementation of ContraLSP
  ☆21Updated 5 months ago
• tongnie / C-LoRA
  CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting
  ☆9Updated 3 months ago
• liuxu77 / UniTime
  UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)
  ☆64Updated 6 months ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆37Updated last year
• tsinghua-fib-lab / Spatio-temporal-Diffusion-Point-Processes
  A diffusion-based framework for spatio-temporal point processes
  ☆57Updated 5 months ago
• Hundredl / MG-TSD
  The code for the paper "[ICLR'24]MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process"
  ☆32Updated 6 months ago
• zhyliu00 / TPB
  Code for CIKM'23 "Cross-city Few-shot Traffic Forecasting via Traffic Pattern Bank"
  ☆17Updated last year
• ant-research / RGSL
  ☆44Updated 2 years ago
• GestaltCogTeam / GinAR
  It is the code for the Graph Interpolation Attention Recursive Network
  ☆15Updated 2 months ago
• HyunWookL / TESTAM
  Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
  ☆29Updated last month