Projects in Awesome Lists tagged with forecasting

https://github.com/facebook/prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

forecasting python r

Last synced: 12 May 2025

https://github.com/facebookincubator/prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

forecasting python r

Last synced: 15 Apr 2025

https://facebook.github.io/prophet/

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

forecasting python r

Last synced: 16 Mar 2025

https://github.com/nvidia/deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

computer-vision deep-learning drug-discovery forecasting large-language-models mxnet nlp paddlepaddle pytorch recommender-systems speech-recognition speech-synthesis tensorflow tensorflow2 translation

Last synced: 23 Apr 2025

https://github.com/NVIDIA/DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

computer-vision deep-learning drug-discovery forecasting large-language-models mxnet nlp paddlepaddle pytorch recommender-systems speech-recognition speech-synthesis tensorflow tensorflow2 translation

Last synced: 17 Mar 2025

https://github.com/statsmodels/statsmodels

Statsmodels: statistical modeling and econometrics in Python

count-model data-analysis data-science econometrics forecasting generalized-linear-models hypothesis-testing prediction python regression-models robust-estimation statistics timeseries-analysis

Last synced: 12 May 2025

https://unit8co.github.io/darts/

A python library for user-friendly forecasting and anomaly detection on time series.

anomaly-detection data-science deep-learning forecasting machine-learning python time-series

Last synced: 17 Nov 2025

https://github.com/autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning forecasting gluon hyperparameter-optimization machine-learning natural-language-processing object-detection python pytorch scikit-learn structured-data tabular-data time-series transfer-learning

Last synced: 09 Sep 2025

https://github.com/unit8co/darts

A python library for user-friendly forecasting and anomaly detection on time series.

anomaly-detection data-science deep-learning forecasting machine-learning python time-series

Last synced: 12 May 2025

https://github.com/sktime/sktime

A unified framework for machine learning with time series

ai anomaly-detection changepoint-detection data-mining data-science forecasting hacktoberfest machine-learning scikit-learn sktime time-series time-series-analysis time-series-classification time-series-regression time-series-segmentation

Last synced: 09 Sep 2025

https://github.com/awslabs/autogluon

Fast and Accurate ML in 3 Lines of Code

autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning forecasting gluon hyperparameter-optimization machine-learning natural-language-processing object-detection python pytorch scikit-learn structured-data tabular-data time-series transfer-learning

Last synced: 05 Apr 2025

https://github.com/postgresml/postgresml

Postgres with GPUs for ML/AI apps.

ai ann approximate-nearest-neighbor-search artificial-intelligence classification clustering embeddings forecasting knn llm machine-learning ml postgres rag regression sql vector-database

Last synced: 14 May 2025

https://github.com/zhouhaoyi/informer2020

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

deep-learning forecasting pytorch self-attention time-series transformer

Last synced: 14 May 2025

https://github.com/zhouhaoyi/Informer2020

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

deep-learning forecasting pytorch self-attention time-series transformer

Last synced: 01 Apr 2025

https://github.com/timeseriesai/tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

classification cnn deep-learning fastai forecasting inceptiontime machine-learning python pytorch regression rnn rocket self-supervised sequential state-of-the-art time-series time-series-analysis time-series-classification timeseries transformer

Last synced: 14 May 2025

https://github.com/timeseriesAI/tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

classification cnn deep-learning fastai forecasting inceptiontime machine-learning python pytorch regression rnn rocket self-supervised sequential state-of-the-art time-series time-series-analysis time-series-classification timeseries transformer

Last synced: 26 Mar 2025

https://github.com/awslabs/gluonts

Probabilistic time series modeling in Python

artificial-intelligence aws data-science deep-learning forecasting machine-learning mxnet neural-networks pytorch sagemaker time-series time-series-forecasting time-series-prediction timeseries torch

Last synced: 12 May 2025

https://github.com/nixtla/statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

arima automl baselines data-science econometrics ets exponential-smoothing fbprophet forecasting machine-learning mstl naive neuralprophet predictions prophet python seasonal-naive statistics theta time-series

Last synced: 14 May 2025

https://github.com/sktime/pytorch-forecasting

Time series forecasting with PyTorch

ai artifical-intelligense data-science deep-learning forecasting gpu machine-learning neural-networks pandas python pytorch pytorch-lightning temporal timeseries timeseries-forecasting uncertainty

Last synced: 12 Dec 2025

https://github.com/salesforce/merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series

Last synced: 13 May 2025

https://github.com/salesforce/Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series

Last synced: 26 Mar 2025

https://github.com/Nixtla/statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

arima automl baselines data-science econometrics ets exponential-smoothing fbprophet forecasting machine-learning mstl naive neuralprophet predictions prophet python seasonal-naive statistics theta time-series

Last synced: 29 Mar 2025

https://github.com/ourownstory/neural_prophet

NeuralProphet: A simple forecasting package

artificial-intelligence autoregression deep-learning fbprophet forecast forecasting forecasting-algorithm forecasting-model machine-learning neural neural-network neuralprophet prediction prophet python pytorch seasonality time-series timeseries trend

Last synced: 14 May 2025

https://github.com/nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

baselines baselines-zoo deep-learning deep-neural-networks deepar esrnn forecasting hierarchical-forecasting hint machine-learning nbeats nbeatsx neural-network nhits probabilistic-forecasting pytorch robust-regression tft time-series transformer

Last synced: 16 May 2025

https://github.com/Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

baselines baselines-zoo deep-learning deep-neural-networks deepar esrnn forecasting hierarchical-forecasting hint machine-learning nbeats nbeatsx neural-network nhits probabilistic-forecasting pytorch robust-regression tft time-series transformer

Last synced: 04 Apr 2025

https://github.com/amazon-science/chronos-forecasting

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

artificial-intelligence forecasting foundation-models huggingface huggingface-transformers large-language-models llm machine-learning pretrained-models time-series time-series-forecasting timeseries transformers

Last synced: 12 May 2025

https://github.com/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 🚀.

anomaly-detection artificial-intelligence deep-learning forecasting generative-ai-time-series gpt gpts llm machine-learning time-series time-series-forecasting timegpt

Last synced: 12 May 2025

https://github.com/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 🚀.

anomaly-detection artificial-intelligence deep-learning forecasting generative-ai-time-series gpt gpts llm machine-learning time-series time-series-forecasting timegpt

Last synced: 04 Apr 2025

https://github.com/qingsongedu/time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

anomalydetection awesome classification deep-learning forecasting machine-learning review survey time-series time-series-forecasting timeseries timeseries-analysis transformer transformers

Last synced: 29 Sep 2025

https://github.com/cure-lab/ltsf-linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

aaai aaai2023 deep-learning forecasting forecasting-model linear-models pytorch time-series time-series-forecasting time-series-prediction

Last synced: 15 May 2025

https://github.com/aistream-peelout/flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

anomaly-detection deep-learning deep-neural-networks forecasting hacktoberfest lstm pytorch state-of-the-art-models time-series time-series-analysis time-series-forecasting time-series-regression transfer-learning transformer

Last synced: 14 May 2025

https://github.com/AIStream-Peelout/flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

anomaly-detection deep-learning deep-neural-networks forecasting hacktoberfest lstm pytorch state-of-the-art-models time-series time-series-analysis time-series-forecasting time-series-regression transfer-learning transformer

Last synced: 01 Apr 2025

https://github.com/uber/orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

arima bayesian bayesian-methods bayesian-statistics changepoint exponential-smoothing forecast forecasting machine-learning orbit probabilistic probabilistic-programming pyro pystan python pytorch regression regression-models stan time-series

Last synced: 09 Apr 2025

https://github.com/tgsmith61591/pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

arima econometrics forecasting forecasting-models machine-learning pmdarima python sarimax time-series

Last synced: 02 Jul 2025

https://github.com/alkaline-ml/pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

arima econometrics forecasting forecasting-models machine-learning pmdarima python sarimax time-series

Last synced: 14 May 2025

https://github.com/time-series-foundation-models/lag-llama

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

forecasting foundation-models lag-llama llama time-series time-series-forecasting time-series-prediction time-series-transformer timeseries timeseries-forecasting transformers

Last synced: 14 May 2025

https://github.com/scorpionhiccup/stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

analysis concept-video forecasting lstm lstm-neural-networks machine-learning rnn stock-price-forecasting supervised-learning video

Last synced: 16 May 2025

https://github.com/bashtage/arch

ARCH models in Python

adf arch bootstrap df-gls dickey-fuller finance financial-econometrics forecasting garch model-confidence-set multiple-comparison-procedures phillips-perron reality-check risk spa time-series unit-root variance volatility

Last synced: 13 May 2025

https://github.com/skforecast/skforecast

Time series forecasting with machine learning models

arima autoregressive-forecasting backtesting-forecasters data-science direct-forecasting exogenous-predictors forecasting lightgbm lstm-neural-networks machine-learning multi-series-forecasting multi-step-forecasting multiple-time-series-forecasting probabilistic-forecasting python quantile-forecasting sarimax scikit-learn time-series xgboost

Last synced: 25 Dec 2025

https://github.com/winedarksea/autots

Automated Time Series Forecasting

automl autots deep-learning feature-engineering forecasting machine-learning preprocessing time-series

Last synced: 14 May 2025

https://github.com/winedarksea/AutoTS

Automated Time Series Forecasting

automl autots deep-learning feature-engineering forecasting machine-learning preprocessing time-series

Last synced: 26 Mar 2025

https://github.com/arrobalytics/django-ledger

Django Ledger is a double entry accounting system and financial analysis engine built on the Django Web Framework.

accounting bookkeeping cashmanagement django django-application django-framework django-ledger django-project entities finance financial financial-analysis-engine forecasting ledger-journal quickbooks

Last synced: 14 May 2025

https://github.com/robjhyndman/forecast

Forecasting Functions for Time Series and Linear Models

cran forecast forecasting r

Last synced: 14 May 2025

https://github.com/functime-org/functime

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

feature-engineering forecasting machine-learning panel-data polars python time-series

Last synced: 04 Apr 2025

https://github.com/Nixtla/mlforecast

Scalable machine 🤖 learning for time series forecasting.

dask forecast forecasting lightgbm machine-learning python time-series xgboost

Last synced: 04 Apr 2025

https://github.com/WenjieDu/PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

classification clustering data-mining data-science deep-learning forecasting healthcare imputation incomplete industrial interpolation machine-learning missing-values missingness neural-network partially-observed-time-series pytorch science-research time-series time-series-analysis

Last synced: 01 Apr 2025

https://github.com/nilmtk/nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

algorithms disaggregation energy energy-disaggregation forecasting ipython-notebook nilm nilm-algorithms nilmtk python

Last synced: 15 May 2025

https://github.com/longxingtan/time-series-prediction

tfts: Time Series Deep Learning Models in TensorFlow

deep-learning forecasting keras-forecasting keras-prediction keras-time-series machine-learning neural-network prediction seq2seq tensorflow tf2 time-series time-series-forecast time-series-forecasting timeseries transformer wavenet

Last synced: 14 May 2025

https://github.com/LongxingTan/Time-series-prediction

tfts: Time Series Deep Learning Models in TensorFlow

deep-learning forecasting keras-forecasting keras-prediction keras-time-series machine-learning neural-network prediction seq2seq tensorflow tf2 time-series time-series-forecast time-series-forecasting timeseries transformer wavenet

Last synced: 01 Apr 2025

https://github.com/tinkoff-ai/etna

ETNA – Time-Series Library

deep-learning forecasting machine-learning python time-series timeseries

Last synced: 01 Apr 2025

https://github.com/zillow/luminaire

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

anomaly-detection automl forecasting outlier-detection time-series

Last synced: 20 Oct 2025

https://github.com/zhouhaoyi/ETDataset

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

dataset electricity-transformer-dataset forecasting long-sequence

Last synced: 05 May 2025

https://github.com/kennethleungty/Failed-ML

Compilation of high-profile real-world examples of failed machine learning projects

ai artificial-intelligence classification computer-vision data-engineering data-quality data-science deep-learning failed-data-science failed-machine-learning failed-ml fml forecasting machine-learning ml natural-language-processing production recsys regression

Last synced: 04 Apr 2025

https://github.com/kennethleungty/failed-ml

Compilation of high-profile real-world examples of failed machine learning projects

ai artificial-intelligence classification computer-vision data-engineering data-quality data-science deep-learning failed-data-science failed-machine-learning failed-ml fml forecasting machine-learning ml natural-language-processing production recsys regression

Last synced: 11 Oct 2025

https://github.com/zhouhaoyi/etdataset

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

dataset electricity-transformer-dataset forecasting long-sequence

Last synced: 05 Oct 2025

https://github.com/julesbelveze/time-series-autoencoder

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

attention-mechanisms autoencoder forecasting lstm-autoencoder multivariate-timeseries pytorch time-series

Last synced: 15 May 2025

https://github.com/sjvasquez/web-traffic-forecasting

Kaggle | Web Traffic Forecasting 📈

convolutional-neural-networks forecasting tensorflow time-series

Last synced: 05 Apr 2025

https://github.com/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

Last synced: 04 Apr 2025

https://business-science.github.io/timetk/

Time series analysis in the `tidyverse`

coercion coercion-functions data-mining dplyr forecast forecasting forecasting-models machine-learning r-package series-decomposition series-signature tibble tidy tidyquant tidyverse time time-series timeseries

Last synced: 23 Jul 2025

https://github.com/business-science/timetk

Time series analysis in the `tidyverse`

coercion coercion-functions data-mining dplyr forecast forecasting forecasting-models machine-learning r-package series-decomposition series-signature tibble tidy tidyquant tidyverse time time-series timeseries

Last synced: 15 May 2025

https://github.com/tidyverts/fable

Tidy time series forecasting

forecasting

Last synced: 22 Oct 2025

https://github.com/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

Last synced: 26 Mar 2025

https://github.com/thuml/nonstationary_transformers

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

deep-learning forecasting non-stationary time-series

Last synced: 20 Jun 2025

https://github.com/firmai/atspy

AtsPy: Automated Time Series Models in Python (by @firmai)

automated finance forecasting forecasting-models python time-series time-series-analysis

Last synced: 06 May 2025

https://github.com/business-science/modeltime

Modeltime unlocks time series forecast models and machine learning in one framework

arima data-science deep-learning ets forecasting machine-learning machine-learning-algorithms modeltime prophet r-package tbats tidymodeling tidymodels time time-series time-series-analysis timeseries timeseries-forecasting

Last synced: 08 Apr 2025

https://github.com/thuml/Nonstationary_Transformers

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

deep-learning forecasting non-stationary time-series

Last synced: 03 Oct 2025

https://github.com/antoinecarme/pyaf

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

arx automatic-forecasting automl autoregressive cycle exogenous forecasting hierarchical-forecasting horizon jupyter machine-learning pandas pyaf python scikit-learn seasonal signal-decomposition time-series transformation trend

Last synced: 15 May 2025

https://github.com/veeral-patel/awesome-risk-quantification

A collection of awesome projects, blog posts, books, and talks on quantifying risk

forecasting risk risk-management risk-measurement risk-quantification security-risk

Last synced: 03 Jan 2026

https://github.com/M-Nauta/TCDF

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

causality cnn forecasting machine-learning neural-networks prediction python pytorch timeseries

Last synced: 08 May 2025

https://github.com/mims-harvard/units

A unified multi-task time series model.

anomaly-detection classification ecg eeg few-shot forecasting foundation-models imputation multi-task prompt-tuning time-series unified-model zero-shot

Last synced: 10 Oct 2025

https://github.com/ankane/prophet-ruby

Time series forecasting for Ruby

anomaly-detection forecasting

Last synced: 17 Nov 2025

https://github.com/RamiKrispin/TSstudio

Tools for time series analysis and forecasting

forecasting r rstats time-series timeseries tsstudio visualization

Last synced: 29 Jul 2025

https://github.com/Nixtla/tsfeatures

Calculates various features from time series data. Python implementation of the R package tsfeatures.

errors features fforma forecasting m4 metrics python time-series tsfeatures

Last synced: 04 Apr 2025

https://github.com/salesforce/deeptime

PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)

deep-learning forecasting implicit-neural-representation meta-learning time-series time-series-forecasting time-series-regression

Last synced: 06 Apr 2025

https://github.com/artefactory/streamlit_prophet

Streamlit app to train, evaluate and optimize a Prophet forecasting model.

fbprophet forecasting forecasting-models machine-learning prophet python streamlit streamlit-webapp time-series

Last synced: 04 Apr 2025

https://github.com/mikekeith52/scalecast

The practitioner's forecasting library

auto-ml data-science deep-learning easy-to-use forecasting keras lstm machine-learning mase msis pandas python recurrent-neural-networks scikit-learn scikit-learn-python smape time-series vecm

Last synced: 19 Jun 2025

https://github.com/damitkwr/ESRNN-GPU

PyTorch GPU implementation of the ES-RNN model for time series forecasting

deep-forecasting deep-learning es-rnn forecasting pytorch time-series-forecasting

Last synced: 01 Apr 2025

https://github.com/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.

arima arma dickey-fuller forecast-evaluation forecasting preprocessing prophet-model python sarima seasonality series-forecasting-python series-preprocessing stationarity time-series time-series-forecasting

Last synced: 26 Mar 2025

https://github.com/KevinFasusi/supplychainpy

Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.

analyst flask forecasting logistics monte-carlo-simulation operations-research python supply-chain

Last synced: 29 Apr 2025

https://github.com/lampspuc/statespacemodels.jl

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

econometrics exponential-smoothing forecasting julia-language kalman-filter sarima state-space-models statistics time-series time-series-analysis unobserved-components

Last synced: 15 May 2025

https://github.com/salesforce/etsformer

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

deep-learning exponential-smoothing forecasting interpretable-machine-learning pytorch time-series time-series-decomposition time-series-forecasting transformers

Last synced: 07 Apr 2025

https://github.com/DataCanvasIO/HyperTS

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

anomaly-detection autodl automl autots classification covariates forecasting hyperparameter-optimization iforest inceptiontime lstnet meta-features multivariate nbeats neural-architecture-search prophet regression tensorflow time-series

Last synced: 01 Apr 2025

https://github.com/datacanvasio/hyperts

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

anomaly-detection autodl automl autots classification covariates forecasting hyperparameter-optimization iforest inceptiontime lstnet meta-features multivariate nbeats neural-architecture-search prophet regression tensorflow time-series

Last synced: 09 Apr 2025

https://github.com/LAMPSPUC/StateSpaceModels.jl

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

econometrics exponential-smoothing forecasting julia-language kalman-filter sarima state-space-models statistics time-series time-series-analysis unobserved-components

Last synced: 04 May 2025

https://github.com/PYFTS/pyFTS

An open source library for Fuzzy Time Series in Python

data-science econometrics forecasting forecasting-models fts fuzzy-rules fuzzy-sets fuzzy-sets-syst fuzzy-systems fuzzy-time-series interval probabilistic-forecasting python series series-models time-series time-series-analysis time-series-forecasting

Last synced: 04 Apr 2025

https://pyfts.github.io/pyFTS/

An open source library for Fuzzy Time Series in Python

data-science econometrics forecasting forecasting-models fts fuzzy-rules fuzzy-sets fuzzy-sets-syst fuzzy-systems fuzzy-time-series interval probabilistic-forecasting python series series-models time-series time-series-analysis time-series-forecasting

Last synced: 01 Apr 2025

https://github.com/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).

attention cnn forecasting gcn lstm mxnet neural-network pytorch tensorflow time-series time-series-forecasting timeseries timeseries-forecasting traffic-flow-forecasting traffic-flow-prediction traffic-forecasting traffic-prediction transformer

Last synced: 12 Apr 2025

https://github.com/pangeo-data/climpred

:earth_americas: Verification of weather and climate forecasts :earth_africa:

climate climate-analysis dask forecasting pangeo prediction python s2d s2s xarray

Last synced: 15 May 2025

https://github.com/gaborvecsei/stocks-pattern-analyzer

This tool should help discover different patterns based on similarity measures in historical (financial) data

finance forecasting hacktoberfest2021 heroku restapi similarity-search stock-data stock-market stock-price-prediction stocks stocks-pattern-analyzer timeserie-indexing timeseries timeseries-analysis

Last synced: 09 Apr 2025

https://github.com/xarray-contrib/xskillscore

Metrics for verifying forecasts

forecasting metrics pangeo verification

Last synced: 15 May 2025

https://github.com/Yu-Group/covid19-severity-prediction

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

coronavirus coronavirus-tracking county-health-data county-level covid-19 covid-19-data covid-19-data-analysis data-analysis data-science epidemic-model forecasting outbreak outbreak-severity python3 response4life risk-assessment risk-modelling statistics ventilator visualization

Last synced: 20 Jul 2025

https://github.com/thuml/koopa

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

deep-learning forecasting non-stationary time-series

Last synced: 20 Jun 2025

https://github.com/PecanProject/pecan

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants r

Last synced: 07 May 2025

https://github.com/Unidata/awips2

Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.

awips awips-data cave data-server data-visualization edex forecasting foss gempak hdf5 hibernate httpd-server java meteorology postgresql python python-awips spring

Last synced: 20 Jul 2025

https://github.com/microsoft/finnts

Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.

business data-science feature-selection finance finnts forecasting machine-learning microsoft r r-package rstats time-series

Last synced: 15 May 2025

https://github.com/nabeel-oz/qlik-py-tools

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

advanced-analytics advanced-analytics-integration analytics clustering data-science deep-learning facebook-prophet fbprophet forecasting hdbscan keras machine-learning predictive-analytics python qlik qlik-oss qlik-sense scikit-learn server-side-extension sklearn

Last synced: 13 Apr 2025

https://github.com/WenjieDu/TSDB

a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.

classification data-mining database deep-learning forecasting imputation machine-learning partially-observed-time-series time-series time-series-analysis time-series-database time-series-datasets