time-series-forecasting

There are 115 repositories under time-series-forecasting topic.

gluonts
awslabs / gluonts
Probabilistic time series modeling in Python
time-series deep-learning forecasting neural-networks machine-learning time-series-prediction time-series-forecasting mxnet pytorch aws sagemaker timeseries artificial-intelligence data-science torch
Language:Python 5003
chronos-forecasting
amazon-science / chronos-forecasting
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
forecasting large-language-models llm machine-learning time-series foundation-models pretrained-models time-series-forecasting timeseries artificial-intelligence huggingface huggingface-transformers transformers
Language:Python 3626
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 time-series-forecasting machine-learning deep-learning forecasting gpt generative-ai-time-series timegpt anomaly-detection artificial-intelligence gpts llm
Language:Jupyter Notebook 2930
qingsongedu / time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
timeseries transformer forecasting anomalydetection classification timeseries-analysis time-series time-series-forecasting machine-learning deep-learning awesome survey transformers review
2863
ddz16 / TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
deep-learning time-series time-series-analysis time-series-forecasting time-series-prediction deep-neural-networks paper-lists rnn tcn time-series-models transformer spatial-temporal-forecasting spatio-temporal spatio-temporal-data spatio-temporal-prediction
2831
Alro10 / deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
time-series-forecasting lstm-neural-networks lstm deep-learning forecasting-models prediction python3 pytorch tensorflow series-forecasting series-classification time-series time-series-prediction time-series-classification forecasting-competitions demand-forecasting recurrent-neural-networks series-analysis sales-forecasting deep-neural-networks
Language:Jupyter Notebook 2730
curiousily / Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
pytorch deep-learning machine-learning computer-vision object-detection face-detection face-recognition time-series time-series-forecasting coronavirus tutorial lstm anomaly-detection time-series-anomaly-detection bert sentiment-analysis transformer nlp transfer-learning yolo
Language:Jupyter Notebook 2450
cure-lab / LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
deep-learning forecasting forecasting-model linear-models pytorch time-series time-series-forecasting time-series-prediction aaai aaai2023
Language:Python 2303
KimMeen / Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
cross-modal-learning cross-modality deep-learning language-model large-language-models machine-learning multimodal-deep-learning multimodal-time-series prompt-tuning time-series time-series-analysis time-series-forecast time-series-forecasting
Language:Python 2246
flow-forecast
AIStream-Peelout / flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
deep-learning pytorch time-series-forecasting time-series transfer-learning deep-neural-networks transformer forecasting lstm time-series-regression state-of-the-art-models anomaly-detection time-series-analysis hacktoberfest
Language:Python 2230
thuml / iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
time-series-forecasting transformer
Language:Python 1576
time-series-foundation-models / lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
forecasting foundation-models time-series time-series-forecasting timeseries timeseries-forecasting llama time-series-prediction time-series-transformer transformers lag-llama
Language:Python 1487
kwuking / TimeMixer
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
deep-learning machine-learning time-series time-series-forecasting time-series-analysis
Language:Python 1429
SalesforceAIResearch / uni2ts
Unified Training of Universal Time Series Forecasting Transformers
deep-learning forecasting machine-learning pre-trained-models pre-training representation-learning time-series time-series-forecasting transformers universal-forecasting
Language:Jupyter Notebook 1090
curiousily / Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
deep-learning tensorflow machine-learning artificial-intelligence python keras neural-networks jupyter-notebooks tensorflow-tutorial lstms autoencoders object-detection image-augmentation time-series-forecasting time-series-classification anomaly-detection sentiment-analysis intent-recognition bert
Language:Jupyter Notebook 1057
cuge1995 / awesome-time-series
list of papers, code, and other resources
time-series time-series-forecasting time-series-prediction series-forecasting spatio-temporal
1014
lixus7 / Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
time-series deep-learning spatio-temporal paper-list traffic-prediction spatio-temporal-prediction spatio-temporal-data spatio-temporal-modeling location travel-time-prediction demand-forecasting anomaly-detection multivariate-timeseries probabilistic-models time-series-forecasting time-series-prediction time-series-imputation accident-detection
911
eai2x / Time-Series-Analysis-Tutorial
time series analysis tutorial
time-series-analysis time-series-forecasting python3
Language:Jupyter Notebook 899
LongxingTan / Time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
tensorflow seq2seq wavenet tf2 time-series transformer deep-learning machine-learning forecasting prediction time-series-forecasting timeseries neural-network time-series-forecast keras-forecasting keras-prediction keras-time-series
Language:Python 865
KimMeen / Awesome-GNN4TS
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
dynamic-graphs graph-neural-networks graph-structure-learning spatial-temporal-data spatial-temporal-forecasting temporal-data temporal-graphs time-series-analysis time-series-anomaly-detection time-series-classification time-series-forecasting time-series-imputation awesome survey time-series
800
Nixtla / hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
econometrics forecasting forecasting-models statistics time-series coherent hierarchical hierarchical-forecast bottomup erm mint topdown reconciliation middleout permbu python time-series-forecasting timeseries probabilistic-models baselines
Language:Python 695
eland
elastic / eland
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
python elasticsearch pandas data-analysis machine-learning time-series-forecasting etl big-data dataframe eland scikit-learn lightgbm dataframes
Language:Python 686
jiwidi / time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python
time-series time-series-analysis time-series-forecasting time-series-prediction python python-time-series machine-learning
Language:Jupyter Notebook 678
cure-lab / SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
deep-neural-networks forecasting temporal-networks time-series time-series-analysis time-series-forecasting
Language:Python 651
DaoSword / Time-Series-Forecasting-and-Deep-Learning
Resources about time series forecasting and deep learning.
data-science deep-learning forecasting machine-learning series-data series-forecasting time-series time-series-forecasting
642
lmmentel / awesome-time-series
Resources for working with time series and sequence data
time-series python machine-learning time-series-analysis anomaly-detection database time-series-forecasting time-series-prediction time-series-classification time-series-database time-series-data-mining
633
moment-timeseries-foundation-model / moment
MOMENT: A Family of Open Time-series Foundation Models, ICML'24
foundational-models time-series time-series-anomaly-detection time-series-classification time-series-forecasting anomaly-detection classification forecasting imputation large-language-models transformers
Language:TypeScript 599
sktime / sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
deep-learning time-series machine-learning scikit-learn panel-data longitudinal-data neural-networks time-series-classification time-series-regression time-series-forecasting
Language:Python 598
Time-MoE / Time-MoE
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"
deep-learning large-model machine-learning time-series time-series-forecasting time-series-foundation-model
Language:Python 552
Thinklab-SJTU / Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
deep-learning time-series-forecasting transformers
Language:Python 544
load_forecasting
pyaf / load_forecasting
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
machine-learning rnn lstm gru arima wma ses sma electric-load-forecasting time-series-forecasting
Language:Jupyter Notebook 542
cure-lab / Awesome-time-series
A comprehensive survey on the time series domains
time-series time-series-forecasting time-series-analysis time-series-classification time-series-prediction anomaly-detection
537
PaddlePaddle / PaddleTS
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.
time-series-forecasting time-series-models time-series-analysis nbeats nhits paddlets paddlepaddle deepar ts2vec informer cost n-beats n-hits time-series-representation-learning time-series-anomaly-detection
Language:Python 534
decisionintelligence / TFB
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
benchmarking time-series time-series-forecasting deep-learning mechine-learning statistical-learning
Language:Python 490
lucidrains / iTransformer
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
artificial-intelligence attention-mechanisms deep-learning time-series-forecasting transformers
Language:Python 489
Time-series-classification-and-clustering-with-Reservoir-Computing
FilippoMB / Time-series-classification-and-clustering-with-Reservoir-Computing
Implement Reservoir Computing models for time series classification, clustering, forecasting, and much more!
machine-learning-algorithms reservoir-computing time-series-classification time-series-clustering echo-state-networks missing-data-imputation phase-space-reconstruction probabilistic-forecasting time-series-forecasting
Language:Python 394

time-series-forecasting

awslabs / gluonts

amazon-science / chronos-forecasting

Nixtla / nixtla

qingsongedu / time-series-transformers-review

ddz16 / TSFpaper

Alro10 / deep-learning-time-series

curiousily / Getting-Things-Done-with-Pytorch

cure-lab / LTSF-Linear

KimMeen / Time-LLM

AIStream-Peelout / flow-forecast

thuml / iTransformer

time-series-foundation-models / lag-llama

kwuking / TimeMixer

SalesforceAIResearch / uni2ts

curiousily / Deep-Learning-For-Hackers

cuge1995 / awesome-time-series

lixus7 / Time-Series-Works-Conferences

eai2x / Time-Series-Analysis-Tutorial

LongxingTan / Time-series-prediction

KimMeen / Awesome-GNN4TS

Nixtla / hierarchicalforecast

elastic / eland

jiwidi / time-series-forecasting-with-python

cure-lab / SCINet

DaoSword / Time-Series-Forecasting-and-Deep-Learning

lmmentel / awesome-time-series

moment-timeseries-foundation-model / moment

sktime / sktime-dl

Time-MoE / Time-MoE

Thinklab-SJTU / Crossformer

pyaf / load_forecasting

cure-lab / Awesome-time-series

PaddlePaddle / PaddleTS

decisionintelligence / TFB

lucidrains / iTransformer

FilippoMB / Time-series-classification-and-clustering-with-Reservoir-Computing