CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting

A Learning-based Energy Management Framework and Benchmark for Electric Vehicles

ProbTS is a benchmarking toolkit for time series forecasting.

MOMENT: A Family of Open Time-series Foundation Models

A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2

Geometry-Aware Fourier Neural Operator (Geo-FNO)

About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/2402.02366

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Official implementation of Scalable Transformer for PDE surrogate modelling

code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"

[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]

TSGBench: Time Series Generation Benchmark (VLDB'24)

Open-Sora: Democratizing Efficient Video Production for All

[ICML2024] Unified Training of Universal Time Series Forecasting Transformers

A framework for easy running and evaluating your TSAD algorithm.

This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly …

ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Official implementation of Diffusion Autoencoders

A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger forecasting, burned area prediction, etc

[ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters"

FinRL­-Meta: Dynamic datasets and market environments for FinRL.

Official implementation of our ICML 2024 paper "UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis"

[ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling".

This repository implements time series diffusion in the frequency domain.

MOSS: MObility Simulation System

Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML