lisxen's Stars
google-research/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
SalesforceAIResearch/uni2ts
Unified Training of Universal Time Series Forecasting Transformers
amazon-science/chronos-forecasting
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
liaoyuhua/LLM4TS
Large Language & Foundation Models for Time Series.
UConn-DSIS/Empowering-Time-Series-Analysis-with-LLM
Official website for "Empowering Time Series Analysis with Large Language Models: A Survey"
xiyuanzh/awesome-llm-time-series
tracking papers, datasets, and models of "large language model (LLM) for time series"
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
Chenngzz/MTSA-SNN
KimMeen/Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
HumaticsLAB/AttentionBasedMultiModalRNN
An unofficial Pytorch implementation of Attention based Multi-Modal New Product Sales Time-series Forecasting
Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
time-series-foundation-models/lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
ngruver/llmtime
etna-team/etna
ETNA – Time-Series Library
sb-ai-lab/Eco2AI
eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.
MVRonkin/TimeSeriesCourse
dayekb/Study
Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки