time-series

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

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research

Mantis: Lightweight Foundation Model for Time Series Classification

A professional list on Multi-Modalities For Time Series Analysis (MM4TSA) Papers and Resource.

This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.

[TMLR 2026] A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models

Time series explainability via self-supervised model behavior consistency

This repository collects awesome representative papers and resources for "From Pre-training to Post-training: A Survey on Time Series Foundation Models" (TechRxiv-26).

This includes the codebase for EntroPE (Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting) paper.

APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based components, and probabilistic modeling. Its modular design allows researchers and practitioners to experiment with multiple forecasting models and easily

SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

Modular and Universal AI

🤖 Provide 70+ ready-to-use, platform-agnostic AI agent skills for improving tasks like code review, security, and data analysis.

In this dataset, the price of the dollar to the Iranian rial in the years 2011 to 2023 has been collected by our crawler.

A comprehensive collection of data quality resources, tools, papers, and projects across various data types including traditional data, LLM pretraining/fine-tuning data, multimodal data, and more. Essential reference for researchers and practitioners in data-centric AI.

This is an official pytorch implementation for paper "A Unified Shape-Aware Foundation Model for Time Series Classification" (AAAI-26).

A set of jupyter notebooks

[AAAI'25] The implementation of paper "Federated Foundation Models on Heterogeneous Time Series" | The first work to explore time series foundation models on federated setting.