Time Series Forecasting ML Frameworks
Deep learning frameworks and libraries specifically designed for time series forecasting, prediction, and analysis using neural networks and meta-learning approaches. Does NOT include general time series machine learning toolkits, changepoint detection, or time series segmentation without forecasting focus.
There are 267 time series forecasting frameworks tracked. 9 score above 70 (verified tier). The highest-rated is sktime/sktime at 85/100 with 9,628 stars. 9 of the top 10 are actively maintained.
Get all 267 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
sktime/sktime
A unified framework for machine learning with time series |
|
Verified |
| 2 |
aeon-toolkit/aeon
A toolkit for time series machine learning and deep learning |
|
Verified |
| 3 |
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms. |
|
Verified |
| 4 |
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python |
|
Verified |
| 5 |
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting. |
|
Verified |
| 6 |
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models. |
|
Verified |
| 7 |
winedarksea/AutoTS
Automated Time Series Forecasting |
|
Verified |
| 8 |
WenjieDu/PyPOTS
A Python toolkit/library for reality-centric machine/deep learning and data... |
|
Verified |
| 9 |
skforecast/skforecast
Time series forecasting with machine learning models |
|
Verified |
| 10 |
alkaline-ml/pmdarima
A statistical library designed to fill the void in Python's time series... |
|
Established |
| 11 |
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai... |
|
Established |
| 12 |
sktime/pytorch-forecasting
Time series forecasting with PyTorch |
|
Established |
| 13 |
antoinecarme/pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting... |
|
Established |
| 14 |
time-series-machine-learning/tsml-py
A toolkit for time series machine learning algorithms that don't fit in... |
|
Established |
| 15 |
awslabs/gluonts
Probabilistic time series modeling in Python |
|
Established |
| 16 |
IDA-HumanCapital/fife
Finite-Interval Forecasting Engine: Machine learning models for... |
|
Established |
| 17 |
mikekeith52/scalecast
The practitioner's forecasting library |
|
Established |
| 18 |
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models for General Time Series Analysis. |
|
Established |
| 19 |
time-series-machine-learning/tsml-eval
Evaluation tools for time series machine learning algorithms. |
|
Established |
| 20 |
lixus7/Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI,... |
|
Established |
| 21 |
WenjieDu/TSDB
a Python toolbox loads 172 public time series datasets for machine/deep... |
|
Established |
| 22 |
nla-group/fABBA
A Python library for the fast symbolic approximation of time series |
|
Established |
| 23 |
LongxingTan/Time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow |
|
Established |
| 24 |
johannfaouzi/pyts
A Python package for time series classification |
|
Established |
| 25 |
RoyalHaskoningDHV/sam
Python package for time series analysis and machine learning |
|
Established |
| 26 |
Open-EO/FuseTS
Time series Fusion toolbox integrated with openEO |
|
Established |
| 27 |
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification,... |
|
Established |
| 28 |
business-science/modeltime
Modeltime unlocks time series forecast models and machine learning in one framework |
|
Established |
| 29 |
PacktPublishing/Time-Series-Analysis-with-Python-Cookbook-Second-Edition
Time Series Analysis with Python Cookbook, Second Edition - Published by Packt |
|
Established |
| 30 |
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and... |
|
Established |
| 31 |
vanderschaarlab/temporai
TemporAI: ML-centric Toolkit for Medical Time Series |
|
Established |
| 32 |
decisionintelligence/TFB
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair... |
|
Established |
| 33 |
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021. |
|
Established |
| 34 |
PacktPublishing/Time-Series-Analysis-with-Python-Cookbook
Time Series Analysis with Python Cookbook, published by Packt |
|
Established |
| 35 |
Time-MoE/Time-MoE
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale... |
|
Established |
| 36 |
DaoSword/Time-Series-Forecasting-and-Deep-Learning
Resources about time series forecasting and deep learning. |
|
Established |
| 37 |
decisionintelligence/DUET
[KDD 2025 Most Influential Paper] DUET: Dual Clustering Enhanced... |
|
Established |
| 38 |
dmbee/seglearn
Python module for machine learning time series: |
|
Established |
| 39 |
aqibsaeed/Multilabel-timeseries-classification-with-LSTM
Tensorflow implementation of paper: Learning to Diagnose with LSTM... |
|
Established |
| 40 |
trainindata/feature-engineering-for-time-series-forecasting
Code repository for the online course "Feature Engineering for Time Series... |
|
Established |
| 41 |
Keytoyze/VisionTS
Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch... |
|
Established |
| 42 |
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting |
|
Established |
| 43 |
hfawaz/dl-4-tsc
Deep Learning for Time Series Classification |
|
Established |
| 44 |
thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with... |
|
Established |
| 45 |
hfawaz/InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification |
|
Established |
| 46 |
White-Link/UnsupervisedScalableRepresentationLearningTimeSeries
Unsupervised Scalable Representation Learning for Multivariate Time Series:... |
|
Established |
| 47 |
X-DataInitiative/tick
Module for statistical learning, with a particular emphasis on... |
|
Established |
| 48 |
philipperemy/n-beats
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for... |
|
Established |
| 49 |
maxim5/time-series-machine-learning
Machine learning models for time series analysis |
|
Established |
| 50 |
ddz16/TSFpaper
This repository contains a reading list of papers on Time Series... |
|
Established |
| 51 |
thuml/Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in... |
|
Emerging |
| 52 |
Ladbaby/PyOmniTS
🔬 A Researcher-Friendly Framework for Time Series Analysis. Train Any Model... |
|
Emerging |
| 53 |
HannaMeyer/CAST
Developer Version of the R package CAST: Caret Applications for... |
|
Emerging |
| 54 |
Geo-Joy/Deep-Learning-for-Time-Series-Forecasting
This repository is designed to teach you, step-by-step, how to develop deep... |
|
Emerging |
| 55 |
kwuking/TimeMixer
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale... |
|
Emerging |
| 56 |
ermshaua/claspy
ClaSPy: A Python package for time series segmentation. |
|
Emerging |
| 57 |
salesforce/DeepTime
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting... |
|
Emerging |
| 58 |
WenjieDu/SAITS
The official PyTorch implementation of the paper "SAITS:... |
|
Emerging |
| 59 |
UnifiedTSAI/Time-HD-Lib
Time-HD-Lib: A Library for High-Dimensional Time Series Forecasting |
|
Emerging |
| 60 |
Techtonique/ahead
Univariate and multivariate time series forecasting, with uncertainty... |
|
Emerging |
| 61 |
lzz19980125/awesome-time-series-segmentation-papers
This repository contains a reading list of papers on Time Series... |
|
Emerging |
| 62 |
WenjieDu/BrewPOTS
The tutorials for PyPOTS, guide you to model partially-observed time series datasets. |
|
Emerging |
| 63 |
AdityaLab/Samay
State-of-art Foundational Time-series models |
|
Emerging |
| 64 |
BirchKwok/PipelineTS
The simplest time series forecasting tool, supporting time series data... |
|
Emerging |
| 65 |
hendersontrent/theft
R package for Tools for Handling Extraction of Features from Time series (theft) |
|
Emerging |
| 66 |
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package |
|
Emerging |
| 67 |
ajayarunachalam/Deep_XF
Package towards building Explainable Forecasting and Nowcasting Models with... |
|
Emerging |
| 68 |
allen-chiang/Time-Series-Transformer
A data preprocessing package for time series data. Design for machine... |
|
Emerging |
| 69 |
hyliush/deep-time-series
Deep learning PyTorch library for time series forecasting |
|
Emerging |
| 70 |
TsLu1s/tsforecasting
TSForecasting: Automated Time Series Forecasting Framework |
|
Emerging |
| 71 |
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series... |
|
Emerging |
| 72 |
chenyangkang/stemflow
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM) |
|
Emerging |
| 73 |
quantsense/TimeSeries_Notebooks_Collections
Jupyter Notebooks Collection for Learning Time Series Models |
|
Emerging |
| 74 |
nredell/forecastML
An R package with Python support for multi-step-ahead forecasting with... |
|
Emerging |
| 75 |
thuml/OpenLTM
Implementations, Pre-training Code and Datasets of Large Time-Series Models |
|
Emerging |
| 76 |
adamvvu/tsfracdiff
Efficient and easy to use fractional differentiation transformations for... |
|
Emerging |
| 77 |
getml/getml-community
Fast, high-quality forecasts on relational and multivariate time-series data... |
|
Emerging |
| 78 |
sktime/sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow |
|
Emerging |
| 79 |
TongjiFinLab/FinTSB
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series... |
|
Emerging |
| 80 |
NorskRegnesentral/skchange
skchange provides sktime-compatible change detection and changepoint-based... |
|
Emerging |
| 81 |
songqiang321/Time-Series-Papers
This is a repository for collecting papers and code in time series domain. |
|
Emerging |
| 82 |
ermshaua/time-series-segmentation-benchmark
This repository contains the time series segmentation benchmark (TSSB). |
|
Emerging |
| 83 |
equinor/TimeSeriesAnalysis
Library for dynamic time-series modeling, identification and simulation.... |
|
Emerging |
| 84 |
tinkoff-ai/etna
ETNA – Time-Series Library |
|
Emerging |
| 85 |
DAMO-DI-ML/AI-for-Time-Series-Papers-Tutorials-Surveys
A professional list of Papers, Tutorials, and Surveys on AI for Time Series... |
|
Emerging |
| 86 |
cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification |
|
Emerging |
| 87 |
functime-org/functime
Time-series machine learning at scale. Built with Polars for embarrassingly... |
|
Emerging |
| 88 |
jiwidi/time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python |
|
Emerging |
| 89 |
moraieu/query-selector
LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION |
|
Emerging |
| 90 |
titu1994/LSTM-FCN
Codebase for the paper LSTM Fully Convolutional Networks for Time Series... |
|
Emerging |
| 91 |
HPCForge/Bubbleformer
Bubbleformer: Forecasting Boiling with Transformers |
|
Emerging |
| 92 |
eddmpython/vectrix
Zero-config time series forecasting for Python. 30+ models, auto selection,... |
|
Emerging |
| 93 |
emadeldeen24/AdaTime
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data |
|
Emerging |
| 94 |
JobNmadu/Dyn4cast
Dynamic Modeling and Machine Learning Environment |
|
Emerging |
| 95 |
hendersontrent/theftdlc
Analyse and interpret time-series features calculated from the theft R package |
|
Emerging |
| 96 |
business-science/timetk
Time series analysis in the `tidyverse` |
|
Emerging |
| 97 |
LingFengGold/TimeDistill
[KDD 2026] Official implementation of "TimeDistill: Efficient Long-Term Time... |
|
Emerging |
| 98 |
benman1/time-series
Time-Series models for multivariate and multistep forecasting, regression,... |
|
Emerging |
| 99 |
itouchz/awesome-deep-time-series-representations
A curated list of state-of-the-art papers on deep learning for universal... |
|
Emerging |
| 100 |
ai-fast-track/timeseries
Time Series package for fastai v2 |
|
Emerging |
| 101 |
FrancisArgnR/Time-series---deep-learning---state-of-the-art
Scientific time series and deep learning state of the art |
|
Emerging |
| 102 |
ml-jku/mc-lstm
Experiments with Mass Conserving LSTMs |
|
Emerging |
| 103 |
vkhamesi/ocpdet
📦 A Python package for online changepoint detection, implementing... |
|
Emerging |
| 104 |
MaxBenChrist/awesome_time_series_in_python
This curated list contains python packages for time series analysis |
|
Emerging |
| 105 |
radrumond/timehetnet
Learning complex time series forecasting models usually requires a large... |
|
Emerging |
| 106 |
Aarhus-Psychiatry-Research/timeseriesflattener
Converting irregularly spaced time series, such as eletronic health records,... |
|
Emerging |
| 107 |
business-science/modeltime.h2o
Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning... |
|
Emerging |
| 108 |
himura467/tsfmx
Multimodal extension for time series foundation models |
|
Emerging |
| 109 |
trainindata/forecasting-with-machine-learning
Code repository for the course "Forecasting with Machine Learning Models" |
|
Emerging |
| 110 |
ari-dasci/S-TSFE-DL
Time Series Feature Extraction using Deep Learning |
|
Emerging |
| 111 |
dongbeank/CATS
[NeurIPS 2024] Official implementation of the paper "Are Self-Attentions... |
|
Emerging |
| 112 |
skygazer42/ForeSight
一个轻量级、开箱即用的 Python 时间序列预测工具包,通过统一接口支持 250+ 种统计、机器学习与深度学习模型 |
|
Emerging |
| 113 |
kaelzhang/DA-RNN-in-Tensorflow-2-and-PyTorch
A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage... |
|
Emerging |
| 114 |
flaviagiammarino/deep-tcn-tensorflow
TensorFlow implementation of DeepTCN model for probabilistic time series... |
|
Emerging |
| 115 |
bet-lab/DeepTimeSeries
Deep learning library for time series forecasting based on PyTorch |
|
Emerging |
| 116 |
maxmekiska/imbrium
Standard and Hybrid Deep Learning Multivariate-Multi-Step &... |
|
Emerging |
| 117 |
flaviagiammarino/tcan-tensorflow
TensorFlow implementation of TCAN model for multivariate time series... |
|
Emerging |
| 118 |
cilab-ufersa/period_cycle_prediction
PERIOD CYCLE PREDICTION©: Predictive Modeling of Menstrual Cycle Length: A... |
|
Emerging |
| 119 |
fchavelli/tsseg
A Python library for Time Series Segmentation |
|
Emerging |
| 120 |
timetoai/TimeDiffusion
Unified Framework for Multiple Time Series Tasks |
|
Emerging |
| 121 |
flaviagiammarino/lstnet-tensorflow
TensorFlow implementation of LSTNet model for multivariate time series forecasting. |
|
Emerging |
| 122 |
RamiKrispin/atsaf
Applied Time Series Analysis and Forecasting |
|
Emerging |
| 123 |
earthai-tech/k-diagram
k-diagram: Rethinking Forecasting Uncertainty via Polar-based Visualization |
|
Emerging |
| 124 |
pohl-michel/time-series-forecasting-with-UORO-RTRL-LMS-and-linear-regression
Prediction of multidimensional time-series data using a recurrent neural... |
|
Emerging |
| 125 |
chotanansub/autotrend
Adaptive local linear trend decomposition for time series analysis. |
|
Emerging |
| 126 |
oguiza/Practical-Deep-Learning-Applied-to-Time-Series
Practical Deep Learning resources for Time series analysis and forecasting |
|
Emerging |
| 127 |
stevinc/Transformer_Timeseries
Pytorch code for Google's Temporal Fusion Transformer |
|
Emerging |
| 128 |
zhangzw16/SageFormer
Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term... |
|
Emerging |
| 129 |
mirkobunse/critdd
Critical difference diagrams with Python and Tikz |
|
Emerging |
| 130 |
puffinsoft/benchstreet
The benchmark for financial time series forecasting. |
|
Emerging |
| 131 |
lsds/Tempo
Tempo is a system for declarative, efficient, end-to-end compiled dynamic... |
|
Emerging |
| 132 |
flaviagiammarino/nbeats-tensorflow
TensorFlow implementation of N-BEATS model for univariate time series forecasting. |
|
Emerging |
| 133 |
mdsunivie/HARNet
TensorFlow implementation of the HARNet model for realized volatility forecasting. |
|
Emerging |
| 134 |
YashSharma/MultivariateTimeSeries
Encoding Time Series as Images for Classification using CNNs |
|
Emerging |
| 135 |
sunsided/tensorflow-lstm-sin
TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction |
|
Emerging |
| 136 |
fchavelli/tsseg-eval
A Python package to evaluate Time Series Segmentation (NeurIPS'25) |
|
Emerging |
| 137 |
FlorinAndrei/timeseries-forecasting-fourier-time-dummies
Time series forecasting with Fourier-adjusted time dummies |
|
Emerging |
| 138 |
Bancie/TiLearn
A Python library for machine scheduling. |
|
Emerging |
| 139 |
zhangzw16/Tensor-Time-Series
Papers and datasets for tensor time series. |
|
Emerging |
| 140 |
VectorInstitute/forecasting-with-dl
Overview of State-of-the-art Deep Learning Based Methods for Time Series Forecasting |
|
Emerging |
| 141 |
silaskoemen/NowcastPNN
A library for epidemiological nowcasting using Probabilistic Neural Networks. |
|
Emerging |
| 142 |
oscar-defelice/TimeSeries-lectures
This is a series of notebooks to support lectures on Time series analysis... |
|
Emerging |
| 143 |
ZhiningLiu1998/TimeFuse
[ICML'25] Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series... |
|
Emerging |
| 144 |
ztxtech/Time-Evidence-Fusion-Network
Official implementation of "Time Evidence Fusion Network: Multi-source View... |
|
Emerging |
| 145 |
dream-faster/fold
🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you... |
|
Emerging |
| 146 |
DrSasanBarak/metats
MetaTS | Time Series Forecasting using Meta Learning |
|
Emerging |
| 147 |
sheoyon-jhin/ANCDE
Attentive Neural Controlled Differential Equations for Time-series... |
|
Emerging |
| 148 |
tylerJPike/OOS
Out-Of-Sample Time Series Forecasting: OOS introduces a comprehensive... |
|
Emerging |
| 149 |
Thrillcrazyer/JustDense
Official Repository of JustDense: Just using Dense instead of Sequence... |
|
Emerging |
| 150 |
Zero-coder/FECAM
About Code release for "FECAM: Frequency Enhanced Channel Attention... |
|
Emerging |
| 151 |
business-science/gpu_accelerated_forecasting_modeltime_gluonts
GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS... |
|
Emerging |
| 152 |
flaviagiammarino/lstm-fcn-pytorch
PyTorch implementation of LSTM-FCN model for univariate time series classification. |
|
Emerging |
| 153 |
yfzhang114/OneNet
This is an official PyTorch implementation of the NeurIPS 2023 paper... |
|
Emerging |
| 154 |
flaviagiammarino/brits-tensorflow
TensorFlow implementation of BRITS model for multivariate time series... |
|
Emerging |
| 155 |
ermshaua/window-size-selection
This is the supporting website for the paper "Window Size Selection In... |
|
Emerging |
| 156 |
chulhongsung/time-series-forecasting
Tutorial repository for time series forecasting models |
|
Emerging |
| 157 |
grimmlab/ForeTiS
Time Series Forecasting in Python |
|
Emerging |
| 158 |
ML-KULeuven/PaTSEmb
Transform time series to a pattern-based embedding |
|
Emerging |
| 159 |
Helloworld2345567/Google_TiDE_implementation
An implementation of (Google)Long-term Time Series Forecasting with TiDE:... |
|
Emerging |
| 160 |
Hamid-Nasiri/VMD-MFRFNN
VMD-MFRFNN |
|
Emerging |
| 161 |
ddz16/Preformer
This repository contains the pytorch code for the 2023 ICASSP paper... |
|
Emerging |
| 162 |
hendersontrent/Rcatch22
R package for calculation of 22 CAnonical Time-series CHaracteristics |
|
Emerging |
| 163 |
rakesh-yadav/PyTorch-RNN-Tutorial
PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting |
|
Emerging |
| 164 |
davidrsch/LSTM_RE
App to carry out simple experiments of the use of LSTM networks in time... |
|
Emerging |
| 165 |
decisionintelligence/Aurora
[ICLR 2026] Aurora: Towards Universal Generative Multimodal Time Series Forecasting |
|
Emerging |
| 166 |
danny-701/LSTM-Time-Series-Forecasting
📊 Forecast time-series data using LSTM models in PyTorch; generate, train,... |
|
Emerging |
| 167 |
dhopp1/nowcastLSTM
R wrapper for nowcast_lstm Python library. Long short-term memory neural... |
|
Emerging |
| 168 |
Water2sea/WITRAN
Official implement for "WITRAN:Water-wave Information Transmission and... |
|
Emerging |
| 169 |
liaoyuhua/pretrained-time-series-model
Pretrain a time series model from scratch. |
|
Emerging |
| 170 |
aitoralmeida/activity_segmentation
Embedding-based real-time change point detection with application to... |
|
Experimental |
| 171 |
intent-solutions-io/plugins-nixtla
Nixtla time series forecasting plugins for Claude Code. StatsForecast,... |
|
Experimental |
| 172 |
AmineOuerfellii/econometron
A Python package for time series forecasting and economic analysis,... |
|
Experimental |
| 173 |
Akai01/ngboostForecast
Probabilistic Time Series Forecasting |
|
Experimental |
| 174 |
capolitsch/trendfiltering
The state-of-the-art method for denoising 1D signals |
|
Experimental |
| 175 |
sunbus100/FreqMoE-main
The official implementation of "FreqMoE: Enhancing Time Series Forecasting... |
|
Experimental |
| 176 |
xmootoo/sss-official
A framework for variable-length time series classification (VSTC) with local... |
|
Experimental |
| 177 |
zqiao11/MSFT
Multi-scale Finetuning for Encoder-based Time Series Foundation Models |
|
Experimental |
| 178 |
AayushSameerShah/TimeSeries-Forecasting
This repository contains my notes and how-to on time series forecasting with... |
|
Experimental |
| 179 |
mj-xmr/tsqsim
Time Series Quick Simulator - able to perform time series analysis and to... |
|
Experimental |
| 180 |
tangkai-RS/AnytimeFormer
[RSE 2026] AnytimeFormer: Fusing irregular and asynchronous SAR-optical time... |
|
Experimental |
| 181 |
BTDLOZC-SJTU/TimeSeriesResearch
这个开源项目主要是对经典的时间序列预测算法论文进行复现,模型主要参考自GluonTS,框架主要参考自Informer |
|
Experimental |
| 182 |
marcozanotti/tsforecasting-course
Time Series Forecasting: Machine Learning and Deep Learning with R & Python |
|
Experimental |
| 183 |
flaviagiammarino/inception-time-pytorch
PyTorch implementation of InceptionTime model for multivariate time series... |
|
Experimental |
| 184 |
hubtru/LTBoost
Boosted Hybrids of ensemble gradient algorithm for the long-term time series... |
|
Experimental |
| 185 |
Levi-Ackman/Leddam
[ICML 2024] Official implementation of: "Revitalizing Multivariate Time... |
|
Experimental |
| 186 |
Lethe4564518/TemporalFusionTransformer-model
Temporal Fusion Transformer... |
|
Experimental |
| 187 |
barbosarafael/multiple-time-series-forecast
Projeções de múltiplas séries temporais, utilizando modelagem hierarquica |
|
Experimental |
| 188 |
yyalau/iclr2025_dsof
This is the official repository for the ICLR 2025 Conference Paper - Fast... |
|
Experimental |
| 189 |
LeonardoBerti00/TABL-Temporal-Attention-Augmented-Bilinear-Network-for-Financial-Time-Series-Data-Analysis
Pytorch implementation of TABL from Temporal Attention Augmented Bilinear... |
|
Experimental |
| 190 |
dhopp1/nowcast_lstm_matlab
MATLAB wrapper for nowcast_lstm python package |
|
Experimental |
| 191 |
00ber/multi-step-time-series-forecasting
Multi-step Time Series Forecasting using LSTM |
|
Experimental |
| 192 |
yaelelmatad/RunTime-Public
RunTime: intensity-free, TPP-aligned Transformer for probabilistic... |
|
Experimental |
| 193 |
Water2sea/TPGN
Official implement for "PGN: The RNN’s New Successor is Effective for... |
|
Experimental |
| 194 |
emptymalei/deep-learning
time series forecasting with deep learning |
|
Experimental |
| 195 |
pseudo-Skye/Time-Will-Tell
A collection of tutorials covering the latest research in time series. |
|
Experimental |
| 196 |
marcozanotti/tsforecasting-dashboard
Forecast App |
|
Experimental |
| 197 |
Hamid-Nasiri/Recurrent-Fuzzy-Neural-Network
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time... |
|
Experimental |
| 198 |
LLeon360/Google-Decimeter-Challenge-23
Use Transformers to predict Time-Series smartphone positioning from GNSS data. |
|
Experimental |
| 199 |
Ali-hey-0/forecast-Attention-Model
A deep learning framework for time series forecasting using attention... |
|
Experimental |
| 200 |
Devazc/FALA
A project that uses ARIMA and LSTM models to predict future outcomes based... |
|
Experimental |
| 201 |
Vineet214/TimeSeriesForecasting-LSTM
Univariate Time Series Forecasting by LSTM |
|
Experimental |
| 202 |
AmirhosseinHonardoust/LSTM-Time-Series-Forecasting
A hands-on project for forecasting time-series with PyTorch LSTMs. It... |
|
Experimental |
| 203 |
taf-society/chronofeat
Time-based feature engineering for forecasting in R. Formula-based... |
|
Experimental |
| 204 |
martostwo/Deep_Neural_Network_TimeSeries_Forecasting
A deep neural network-based model for time series prediction. |
|
Experimental |
| 205 |
chirindaopensource/adaptive_dataflow_system_for_financial_time_series_synthesis
End-to-End Python implementation of bi-level optimization for financial... |
|
Experimental |
| 206 |
Calvinxc1/StateSmoother
PyTorch-based time-series state smoothing for tabular observations |
|
Experimental |
| 207 |
ztxtech/cep_ts
This is an official PyTorch implementation of "Continuous Evolution Pool:... |
|
Experimental |
| 208 |
levnikmyskin/that_metric_timeline
That Metric Timeline (TMT) is a Python library aimed at the machine/deep... |
|
Experimental |
| 209 |
Chan-dre-yi/POWER-CAST
This project is a time series forecasting model using the Temporal Fusion... |
|
Experimental |
| 210 |
lucasrmendonca7/time-series-forecasting
Time series forecasting of simulated sensor data using Exponential... |
|
Experimental |
| 211 |
MukundaKatta/SignalAI
Time series signal processing — smoothing, peak detection, FFT analysis,... |
|
Experimental |
| 212 |
kadzo325/cep_ts
Continuous Evolution Pool: Taming Recurring... |
|
Experimental |
| 213 |
Christiansada/Time-Series-Financial-Models
Build Machine Learning Models, Finance Models, Research and Manage Portfolios |
|
Experimental |
| 214 |
khiddd/chronofeat
🕒 Create time-based features for your data with chronofeat, an R package... |
|
Experimental |
| 215 |
JamBelg/Time-Series-Forecasting-with-R
with Kaggle data |
|
Experimental |
| 216 |
Vishisht16/PRESTO
A novel deep transfer learning framework for forecasting NavIC satellite... |
|
Experimental |
| 217 |
dr-saad-la/timeseries-hub
Comprehensive collection of time series forecasting models: from classical... |
|
Experimental |
| 218 |
ProjectTimeSeriesClassificationUniUlm/EnsembleBasedTSC
Project based on the paper 'Deep Neural Network Ensembles for Time Series... |
|
Experimental |
| 219 |
jiaowoguanren0615/Time-Series-Models
This is a warehouse for TimeSeries-pytorch-models, can be used to train your dataset |
|
Experimental |
| 220 |
dongbeank/LGA
[ICLR 2026] Official implementation of the paper "Local Geometry Attention... |
|
Experimental |
| 221 |
AAnzel/Polar-Diagrams-for-Model-Comparison
"Interactive Polar Diagrams for Model Comparison" by Aleksandar Anžel,... |
|
Experimental |
| 222 |
KarryRen/MgRL-CE
A study of time series prediction based on Multi-granularity Residual... |
|
Experimental |
| 223 |
m6129/VKR
Investigation of the capabilities of foundations models in the context of... |
|
Experimental |
| 224 |
geniuszly/GenTimeSeriesPredictor
A causal convolutional neural network (CNN) model for predicting time series |
|
Experimental |
| 225 |
ermshaua/classification-score-stream
This is the supporting website for the paper "Raising the ClaSS of Streaming... |
|
Experimental |
| 226 |
fualsan/DeepTimeSeriesFromScratch
Deep neural network models implemented from scratch in PyTorch for time... |
|
Experimental |
| 227 |
msabr027/time_complexity
The objective is to build a library to be able to estimate time complexity... |
|
Experimental |
| 228 |
0-mostafa-rezaee-0/LSTM__Long-Short-Term-Memory
Practical implementation of Long Short-Term Memory (LSTM) networks for time... |
|
Experimental |
| 229 |
michelelagreca/Classification-Of-Time-Series-Using-RNN
Second challenge of the 'Artificial Neural Networks and Deep Learning'... |
|
Experimental |
| 230 |
leo27heady/TempVerseFormer
Implementation of the TempVerseFormer, a novel deep learning architecture... |
|
Experimental |
| 231 |
phuijse/irregular_ts_transformers
Transformer architectures for irregulary sampled time series classification |
|
Experimental |
| 232 |
pohl-michel/Time-series-prediction-with-an-RNN-trained-with-RTRL
Multidimensional time-series data prediction with a recurrent neural network... |
|
Experimental |
| 233 |
mimanchi-dongze/TimeMixer-ME
TimeMixer_ME是一个基于TimeMixer创新的深度学习模型,专门用于处理复杂的时间序列任务。该模型采用多尺度记忆增强机制,能够有效处理长期依赖... |
|
Experimental |
| 234 |
SahanDisa/time-series
For Time Series Analysis |
|
Experimental |
| 235 |
jose-gilberto/deeptime
Set of deep learning models for supervised and semi-supervised learning... |
|
Experimental |
| 236 |
NamanKr24/ForecastForge
Hybrid framework combining ML, deep learning, and ensemble methods for... |
|
Experimental |
| 237 |
Shreek195/lstm-gru-sequence-prediction
A deep learning project for sequential data prediction using windowing. ... |
|
Experimental |
| 238 |
riadcse/Time-Series-and-Holt-Winter-Method
Time Series and Holt Winter Method in Python |
|
Experimental |
| 239 |
0-mostafa-rezaee-0/Time_Series_Analysis
Models: AR - MA - ARMA - ARIMA - SARIMA - LSTM |
|
Experimental |
| 240 |
mlnjsh/timesage
The Wise Time Series Library — Beautiful EDA, All Models, Plain-English... |
|
Experimental |
| 241 |
eddisonpham/StonkBench
Unified Benchmark for Synthetic Data Generation in Financial Time Series (SDGFTS) |
|
Experimental |
| 242 |
Thableaddles57/time-series-forecasting
Advanced time series forecasting models (ARIMA, Prophet, LSTM) for various... |
|
Experimental |
| 243 |
mzquadri/Time-Series-Streamflow-Forecasting
Streamflow time series forecasting with ARIMA, XGBoost, and Prophet... |
|
Experimental |
| 244 |
Witurpred64/Time-Series-Forecasting-Models
Collection of models and techniques for time series analysis, forecasting,... |
|
Experimental |
| 245 |
Bezehard/taylor_series
The "taylor_series" project provides a simple implementation of Taylor... |
|
Experimental |
| 246 |
Scontel/time-series-forecasting-models
Comparative analysis and implementation of various time series forecasting... |
|
Experimental |
| 247 |
aminKMT/RNN-LastMile
PyTorch LSTM notebooks for last-mile delivery ETA prediction. |
|
Experimental |
| 248 |
jaychampaneri14/lstm-time-series
LSTM for multivariate time series prediction |
|
Experimental |
| 249 |
harshalsp0011/temperature-timeseries-ml
Comparative time series forecasting using ARIMA and LSTM neural networks for... |
|
Experimental |
| 250 |
razivzulfikar24/Egg-Price-Prediction
Comparative Study of Deep Learning Time Series on Predicting Egg Price (GRU,... |
|
Experimental |
| 251 |
Flat-Earther/RNN-TimeSeries
Analysis of multi-feature time series using recurrent neural networks with... |
|
Experimental |
| 252 |
whyisshizai/LSTM-Transformer-Time-Series-Forecasting
A Hybrid LSTM-Transformer Network for Local and Global Planning |
|
Experimental |
| 253 |
timetoai/TimeDiffusion_forecasting
Research Project on time-series forecasting |
|
Experimental |
| 254 |
romavini/RBF-forecast
A time-series forecasting algorithm based in Radial Basis Function Neural... |
|
Experimental |
| 255 |
JTP75/Time-Series-Forecasting-UPMC
Machine Learning-based research for UPMC |
|
Experimental |
| 256 |
Yash22222/TERRORIST-ACTIVITY-FORECASTING-AND-RISK-ASSESSMENT-SYSTEM
In an era marked by global security challenges, the "TAFRAS" emerges as a... |
|
Experimental |
| 257 |
BorDch/time-series-forecasting-analytics
End-to-end time series analysis: classical econometrics, ML forecasting &... |
|
Experimental |
| 258 |
MarcoBendinelli/Time-Series-Classification-with-Neural-Networks
This project employs Deep Learning for Time Series Classification, exploring... |
|
Experimental |
| 259 |
sunsided/arima
Experiments on AR(p)/MA(q) processes in MATLAB. |
|
Experimental |
| 260 |
MuhammadHilmyPutraRisma/temperature-torecast-sarima
Python code for forecasting the monthly average temperature in Philadelphia... |
|
Experimental |
| 261 |
andreabellome/time_series_forecasting
This folder contains notebooks to perform perliminary data analysis and... |
|
Experimental |
| 262 |
martostwo/Deep_Temporal_Transformer_TimeSeries_Forecasting
A proposal for a new architecture for time series prediction based on Transformers. |
|
Experimental |
| 263 |
jmdha/shapeon
A time series analysis method using Shapelets and Fischer Linear Discriminant. |
|
Experimental |
| 264 |
HungPhamNoob/basic-time-series-forecasting
A repository for INT3209E_1 Data Mining course |
|
Experimental |
| 265 |
pseudo-Skye/Series-ly-Mathematical
A series of serious math tutorials for time series 📈 |
|
Experimental |
| 266 |
mmuratardag/DS_ts_gTrends_ideology
applications of univariate & multivariate times series with machine and deep... |
|
Experimental |
| 267 |
Levi-Ackman/Rebutall_ICML2024
An Anonymized link for reviewer to further explore paper: Revitalizing... |
|
Experimental |