Topic: "time-series-forecasting"
awslabs/gluonts
Probabilistic time series modeling in Python
Language: Python - Size: 13.9 MB - Last synced at: 19 days ago - Pushed at: 23 days ago - Stars: 4,851 - Forks: 780
amazon-science/chronos-forecasting
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
Language: Python - Size: 1000 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3,243 - Forks: 364
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 🚀.
Language: Jupyter Notebook - Size: 281 MB - Last synced at: 3 days ago - Pushed at: 10 days ago - Stars: 2,723 - Forks: 224
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Size: 306 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 2,700 - Forks: 257
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 28 days ago - Pushed at: about 1 year ago - Stars: 2,683 - Forks: 530
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.
Size: 1.35 MB - Last synced at: 10 days ago - Pushed at: 29 days ago - Stars: 2,536 - Forks: 222
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
Language: Jupyter Notebook - Size: 32.3 MB - Last synced at: 30 days ago - Pushed at: 10 months ago - Stars: 2,416 - Forks: 648
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Language: Python - Size: 5.67 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 2,172 - Forks: 471
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Language: Python - Size: 8.03 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2,160 - Forks: 300
KimMeen/Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Language: Python - Size: 1.06 MB - Last synced at: 29 days ago - Pushed at: 6 months ago - Stars: 1,928 - Forks: 333
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
Language: Python - Size: 11.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1,498 - Forks: 253
kwuking/TimeMixer
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
Language: Python - Size: 5.23 MB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 1,438 - Forks: 173
time-series-foundation-models/lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Language: Python - Size: 255 KB - Last synced at: about 13 hours ago - Pushed at: 7 days ago - Stars: 1,431 - Forks: 174
SalesforceAIResearch/uni2ts
Unified Training of Universal Time Series Forecasting Transformers
Language: Jupyter Notebook - Size: 7.11 MB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 1,094 - Forks: 127
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)
Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: 7 days ago - Pushed at: about 5 years ago - Stars: 1,044 - Forks: 439
cuge1995/awesome-time-series
list of papers, code, and other resources
Size: 1.03 MB - Last synced at: 7 days ago - Pushed at: 10 months ago - Stars: 988 - Forks: 160
lixus7/Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
Size: 4.21 MB - Last synced at: 10 days ago - Pushed at: 2 months ago - Stars: 892 - Forks: 92
eai2x/Time-Series-Analysis-Tutorial
time series analysis tutorial
Language: Jupyter Notebook - Size: 83.8 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 888 - Forks: 212
LongxingTan/Time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
Language: Python - Size: 2.93 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 850 - Forks: 168
decisionintelligence/TFB
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Language: Python - Size: 4.78 MB - Last synced at: about 23 hours ago - Pushed at: about 24 hours ago - Stars: 769 - Forks: 58
KimMeen/Awesome-GNN4TS
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
Size: 298 KB - Last synced at: 10 days ago - Pushed at: 9 months ago - Stars: 752 - Forks: 64
elastic/eland
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Language: Python - Size: 20.9 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 672 - Forks: 108
jiwidi/time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python
Language: Jupyter Notebook - Size: 52.9 MB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 668 - Forks: 218
Nixtla/hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Language: Python - Size: 23.2 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 652 - Forks: 85
cure-lab/SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
Language: Python - Size: 523 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 651 - Forks: 127
DaoSword/Time-Series-Forecasting-and-Deep-Learning
Resources about time series forecasting and deep learning.
Size: 2.16 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 648 - Forks: 60
sktime/sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
Language: Python - Size: 1.32 MB - Last synced at: 4 days ago - Pushed at: 9 months ago - Stars: 598 - Forks: 78
Time-MoE/Time-MoE
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"
Language: Python - Size: 697 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 588 - Forks: 55
lmmentel/awesome-time-series
Resources for working with time series and sequence data
Size: 171 KB - Last synced at: 13 days ago - Pushed at: 4 months ago - Stars: 584 - Forks: 88
pyaf/load_forecasting
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
Language: Jupyter Notebook - Size: 20.3 MB - Last synced at: 2 days ago - Pushed at: 6 months ago - Stars: 548 - Forks: 161
Thinklab-SJTU/Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Language: Python - Size: 2.22 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 540 - Forks: 91
cure-lab/Awesome-time-series
A comprehensive survey on the time series domains
Size: 953 KB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 525 - Forks: 50
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.
Language: Python - Size: 7.06 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 517 - Forks: 123
lucidrains/iTransformer
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
Language: Python - Size: 220 KB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 490 - Forks: 38
hushuguo/awesome-time-series-papers
This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.
Size: 215 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 384 - Forks: 13
FilippoMB/Time-series-classification-and-clustering-with-Reservoir-Computing
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification, clustering, forecasting, and much more!
Language: Python - Size: 15.2 MB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 376 - Forks: 85
salesforce/DeepTime
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
Language: Python - Size: 1.24 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 355 - Forks: 64
advaitsave/Introduction-to-Time-Series-forecasting-Python
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 323 - Forks: 138
damitkwr/ESRNN-GPU
PyTorch GPU implementation of the ES-RNN model for time series forecasting
Language: Python - Size: 75.2 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 320 - Forks: 72
AI4HealthUOL/SSSD
Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
Language: Python - Size: 871 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 300 - Forks: 53
aprbw/traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
Language: TeX - Size: 685 KB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 288 - Forks: 46
salesforce/ETSformer
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Language: Python - Size: 459 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 274 - Forks: 44
jinglescode/time-series-forecasting-pytorch
Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM
Language: Jupyter Notebook - Size: 5.06 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 273 - Forks: 100
PYFTS/pyFTS
An open source library for Fuzzy Time Series in Python
Language: Python - Size: 63.2 MB - Last synced at: about 4 hours ago - Pushed at: 9 months ago - Stars: 270 - Forks: 56
moment-timeseries-foundation-model/moment
MOMENT: A Family of Open Time-series Foundation Models
Language: TypeScript - Size: 15.2 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 268 - Forks: 33
Y-debug-sys/Diffusion-TS
[ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"
Language: Jupyter Notebook - Size: 2.45 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 254 - Forks: 33
eai2x/TimeSeriesMoonlightBox
time series analysis models source code
Language: Jupyter Notebook - Size: 41.3 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 237 - Forks: 78
SaberaTalukder/TOTEM
The official code 👩💻 for - TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Language: Python - Size: 65.4 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 225 - Forks: 34
salesforce/CoST
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
Language: Python - Size: 368 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 223 - Forks: 43
KasperGroesLudvigsen/influenza_transformer
PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
Language: Python - Size: 366 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 221 - Forks: 75
HanXinzi-AI/awesome-NLP-resources
a collection of NLP projects&tools. 自然语言处理方向项目和工具集合。
Size: 17.2 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 200 - Forks: 32
amazon-science/unconditional-time-series-diffusion
Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"
Language: Python - Size: 746 KB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 189 - Forks: 32
PriorLabs/tabpfn-time-series
Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
Language: Jupyter Notebook - Size: 3.78 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 188 - Forks: 12
Secilia-Cxy/SOFTS
Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.
Language: Python - Size: 3.26 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 179 - Forks: 17
Atik-Ahamed/TimeMachine
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Language: Python - Size: 230 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 178 - Forks: 23
albertogaspar/dts
A Keras library for multi-step time-series forecasting.
Language: Python - Size: 1.03 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 165 - Forks: 42
jinglescode/time-series-forecasting-tensorflowjs
Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework
Language: HTML - Size: 152 KB - Last synced at: 2 days ago - Pushed at: almost 4 years ago - Stars: 162 - Forks: 52
heidelbergcement/hcrystalball
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Language: Python - Size: 10.9 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 151 - Forks: 20
Geo-Joy/Deep-Learning-for-Time-Series-Forecasting
This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.
Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 140 - Forks: 72
traas-stack/kapacity
An open cloud native capacity solution which helps you achieve ultimate resource utilization in an intelligent and risk-free way.
Language: Go - Size: 771 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 138 - Forks: 13
FilippoMB/python-time-series-handbook
Book and material for the course "Time series analysis with Python" (STA-2003)
Language: Jupyter Notebook - Size: 348 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 136 - Forks: 27
flo7up/relataly-public-python-tutorials
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
Language: Jupyter Notebook - Size: 96.7 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 124 - Forks: 90
decisionintelligence/DUET
[KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
Language: Python - Size: 6.46 MB - Last synced at: about 23 hours ago - Pushed at: about 24 hours ago - Stars: 123 - Forks: 14
superlinear-ai/conformal-tights
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Language: Python - Size: 857 KB - Last synced at: 1 day ago - Pushed at: 10 days ago - Stars: 110 - Forks: 3
station-10/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
Size: 63.5 KB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 103 - Forks: 10
paulozip/arauto
An open-source tool for quick Time Series Analysis and Forecasting
Language: Python - Size: 92.2 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 103 - Forks: 16
ForestsKing/GLAFF
PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (NeurIPS 2024)
Language: Python - Size: 1.01 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 99 - Forks: 6
FilippoMB/Ensemble-Conformalized-Quantile-Regression
Valid and adaptive prediction intervals for probabilistic time series forecasting.
Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: about 5 hours ago - Pushed at: about 2 months ago - Stars: 93 - Forks: 10
ajitsingh98/Time-Series-Analysis-and-Forecasting-with-Python
Time Series Analysis and Forecasting in Python
Language: Jupyter Notebook - Size: 6.16 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 92 - Forks: 40
dream-faster/fold
🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.
Language: Python - Size: 7 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 90 - Forks: 5
tiagoCuervo/TensorANFIS
A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)
Language: Python - Size: 10.7 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 88 - Forks: 38
wearesulie/sulie
Access to Sulie foundation models for time-series forecasting 📈
Language: Python - Size: 3.79 MB - Last synced at: 18 days ago - Pushed at: 5 months ago - Stars: 87 - Forks: 0
TrustAGI-Lab/MTGODE
[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
Language: Python - Size: 114 KB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 81 - Forks: 27
aryan-jadon/Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.
Language: Python - Size: 2.52 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 80 - Forks: 18
ztxtech/Time-Evidence-Fusion-Network
Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)
Language: Python - Size: 3.75 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 75 - Forks: 4
autogluon/fev
Forecast evaluation library
Language: Python - Size: 180 KB - Last synced at: 6 days ago - Pushed at: 22 days ago - Stars: 74 - Forks: 7
PetoLau/petolau.github.io Fork of barryclark/jekyll-now
Blog about time series data mining in R.
Language: HTML - Size: 163 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 74 - Forks: 78
stevinc/Transformer_Timeseries
Pytorch code for Google's Temporal Fusion Transformer
Language: Python - Size: 51.8 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 72 - Forks: 21
kaishengteh/Predictive-Analytics-for-Business-Nanodegree
Kai Sheng Teh - Udacity Predictive Analytics for Business Nanodegree
Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 72 - Forks: 79
ForestsKing/Awesome-Multimodal-Time-Series
A curated list of paper, code, data, and other resources focus on multimodal time series analysis.
Size: 9.77 KB - Last synced at: 5 days ago - Pushed at: 11 days ago - Stars: 71 - Forks: 4
Hank0626/PDF
An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)
Language: Python - Size: 757 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 65 - Forks: 5
baggepinnen/SingularSpectrumAnalysis.jl
A package for performing Singular Spectrum Analysis (SSA) and time-series decomposition
Language: Julia - Size: 94.7 KB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 65 - Forks: 5
Hamid-Nasiri/Recurrent-Fuzzy-Neural-Network
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction
Language: MATLAB - Size: 11.1 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 65 - Forks: 5
cuge1995/awesome-energy-forecasting
list of papers, code, and other resources
Size: 69.3 KB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 65 - Forks: 10
gakhov/pycon-ua-2018
Talk at PyCon UA 2018 (Kharkov, Ukraine)
Language: Jupyter Notebook - Size: 6.86 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 64 - Forks: 44
zhangzw16/SageFormer
Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".
Language: Python - Size: 60.5 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 61 - Forks: 4
microprediction/timeseries-notebooks
Hello world univariate examples for a variety of time series packages.
Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: 4 days ago - Pushed at: 8 months ago - Stars: 56 - Forks: 26
Jeevesh8/GHI-prediction
PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
Language: Python - Size: 91.8 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 55 - Forks: 16
LMissher/STWave
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
Language: Python - Size: 130 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 52 - Forks: 4
Hamid-Nasiri/VMD-MFRFNN
VMD-MFRFNN
Language: MATLAB - Size: 51.8 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 52 - Forks: 7
lamres/orderbook_modeling
Example of order book modeling.
Language: Jupyter Notebook - Size: 19 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 52 - Forks: 34
adelekuzmiakova/CS229-machine-learning-solar-energy-predictions
Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are included.
Language: Python - Size: 922 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 48 - Forks: 12
BirchKwok/spinesTS 📦
spinesTS, a powerful toolset for time series prediction, is one of the cornerstones of PipelineTS.
Language: Python - Size: 44.2 MB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 46 - Forks: 9
ddz16/Preformer
This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”
Language: Python - Size: 522 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 45 - Forks: 5
nla-group/fABBA
A Python library for the fast symbolic approximation of time series
Language: Python - Size: 514 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 44 - Forks: 9
gengdd/Awesome-Time-Series-Spatio-Temporal
Awesome Time-Series and Spatio-Temporal Related
Size: 15.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 44 - Forks: 4
yangysc/Wavelet-HFCM
This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wavelet Transform'
Language: Python - Size: 349 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 44 - Forks: 17
bukosabino/financial-forecasting-challenge-gresearch
My approaches to Financial Forecasting Challenge by G-Research
Language: Jupyter Notebook - Size: 36.2 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 43 - Forks: 24
Zero-coder/FECAM
About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting"
Language: Jupyter Notebook - Size: 3.87 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 41 - Forks: 16
imrahulr/Pred-Maintenance-Siemens
Predictive Maintenance System for Digital Factory Automation
Language: Jupyter Notebook - Size: 16.1 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 41 - Forks: 10
