RogerNi / MoLELinks
☆40Updated last week
Alternatives and similar repositories for MoLE
Users that are interested in MoLE are comparing it to the libraries listed below
Sorting:
- Time Series Forecasting, Distribution Shift☆100Updated 2 years ago
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆93Updated 2 years ago
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆80Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆125Updated last year
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆37Updated 2 years ago
- ☆98Updated last year
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆98Updated 11 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆78Updated 11 months ago
- ☆46Updated last year
- Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"☆48Updated 2 years ago
- Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"☆81Updated last year
- [ICML 2025 Spotlight] K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting☆47Updated 6 months ago
- ☆70Updated 4 months ago
- ☆137Updated 3 years ago
- [ICML 2025] Official repository of the TQNet paper: "Temporal Query Network for Efficient Multivariate Time Series Forecasting". This wor…☆88Updated 2 weeks ago
- ☆54Updated last year
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆40Updated last year
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆128Updated 2 years ago
- ☆47Updated 2 years ago
- ☆22Updated last year
- [ICML 2025] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time S…☆133Updated last month
- [NeurIPS2024] Attractor memory for long-term time series forecasting: A chaos perspective☆23Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆93Updated 7 months ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆90Updated last year
- This is an official implementation of "DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching" (NeurIPS…☆23Updated last year
- UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)☆109Updated last year
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆153Updated last year
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆77Updated last year
- TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative d…☆60Updated last year
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆96Updated last year