[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)

Hierarchical and Grouped Time Series

Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

N-Beats library implementation

Github Repository for the KerasBeats package. Easily import and use the NBeats NN architecture in Keras

Forecasting steel price

Chronos: Pretrained Models for Time Series Forecasting

MOSS: Multi-Omic integration via Sparse Singular Decomposition

国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）

A modern LaTeX Beamer theme

Short course on dimension reduction for AMSI

demography package for R

Methods used for producing product sales probabilistic forecasting (statistical methods, ML models, theoretical estimations, and empirical approaches)

An implementation of the Heterogeneous AutoRegressive model from Corsi(2009)

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Temporal HIErarchical Forecasting

Recurrent Neural Network Implementations for Time Series Forecasting

An R package that makes xgboost models fully interpretable

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model uses the forecasts of 4 sub-models: TBATS, Theta, Dynamic H…

A set of tools to understand what is happening inside a Random Forest

Variable Selection Using Random Forests

M5 Competition Data

An open source library for Fuzzy Time Series in Python

A standard style for README files

Covariate-dependent copula models