tianzhou2011 / FiLMLinks
☆98Updated 2 years ago
Alternatives and similar repositories for FiLM
Users that are interested in FiLM are comparing it to the libraries listed below
Sorting:
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆226Updated 2 years ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆96Updated 8 months ago
- Time Series Forecasting, Distribution Shift☆90Updated 2 years ago
- Transformer based model for time series prediction☆131Updated 3 years ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆79Updated 2 years ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆119Updated 2 years ago
- This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…☆119Updated 7 months ago
- ☆49Updated 2 years ago
- ☆134Updated 2 years ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆196Updated last month
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆104Updated last year
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆224Updated last year
- ☆71Updated last year
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆79Updated last year
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆59Updated last year
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆46Updated 2 years ago
- TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research☆136Updated last year
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆84Updated 6 months ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆180Updated last year
- ☆101Updated 8 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆92Updated 10 months ago
- ☆95Updated last month
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆86Updated last year
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆149Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆184Updated 11 months ago
- ☆87Updated last year
- ☆77Updated last year
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆170Updated last month
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆87Updated 8 months ago
- Codebase for CIKM '24 paper -- General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecas…☆47Updated 8 months ago