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allm4ts

[ICML2024] Official repo for paper "Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning"

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

autotimes

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

calf

An official implementation of "CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning"

crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

fedformer

forex-stock-price-prediction-using-transformer-and-time-embeddings

This repository contains the code for the Project "Forex Stock Price Prediction using Transformers and Time Embeddings" written in Tensorflow 2.9.1

google-research

Google Research

inceptiontime

InceptionTime: Finding AlexNet for Time Series Classification

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

llama-recipes

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

llama.cpp

LLM inference in C/C++

llmtime

master

This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price forecasting, which models the momentary and cross-time stock correlation and guide feature selection with market information.

msgnet

MSGNet (AAAI2024)

mts-mixers

MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing

nbeatsx

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

neurips2023-one-fits-all

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

nonstationary_transformers

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

patchtst

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

pdf

An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)

pisa

pyraformer

scaleformer

softs

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion" in PyTorch.

stockformer

PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".

time-llm

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

time-series-analysis

Collection of notebooks for time series analysis