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 18 hours ago - Pushed at: 7 days ago - Stars: 1,431 - Forks: 174

decisionintelligence/DUET

[KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Language: Python - Size: 6.46 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 123 - Forks: 14

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: 1 day ago - Pushed at: 1 day ago - Stars: 769 - Forks: 58

TakuyaShintate/tsts

📈 toolset for time series forecasting

Language: Python - Size: 7.22 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 33 - Forks: 2

stefanodesaraca/Traffic-Forecasting-System

Language: Python - Size: 441 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

PeeteKeesel/kaggle-verse

✨My kaggle notebooks

Language: Jupyter Notebook - Size: 59 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 3 - Forks: 0

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

fjk1533/smurphcast

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

Language: Python - Size: 69.3 KB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

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: 4 days ago - Pushed at: 4 days ago - Stars: 588 - Forks: 55

Nixtla/hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Language: Python - Size: 23.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 652 - Forks: 85

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: 4 days ago - Pushed at: 10 days ago - Stars: 2,723 - Forks: 224

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

Brinkley97/applied_time_series_and_machine_learning

Personal Exploration: Time Series Analysis + Forecasting with Machine Learning

Language: Jupyter Notebook - Size: 74.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 1

valeria-gonzalez/PM25-forecasting

Time series forecasting project to to predict daily PM2.5 pollutant concentration levels in Tlaquepaque, Jalisco using LTSM.

Language: Jupyter Notebook - Size: 15.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

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

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

kingjosephm/predictive-maintenance-modeler

XGBoost Predictive Maintenance Modeler for Estimating Time-To-Failure

Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

nb71325/XAI-Stock-market-prediction

We tested 3 distinct Deep Learning models (the LSTM-GRU hybrid model turned out to be the best) to forecast AAPL price movements, focusing on the prior 90 days. We additionally incorporated RSI and MACD to better mimic the actual price. To provide more insights, we combined SHAP with GPT-2, to find out the proper time to invest in these stocks.

Language: Jupyter Notebook - Size: 59.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

pintamonas4575/SERTEMP-project-MAADM-UPM

AI models applied to temporal series. Subject from UPM´s master degree in Machine Learning and Big Data

Language: Jupyter Notebook - Size: 7.83 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

viventriglia/scintill-ai-web-app

A research project aiming to apply machine learning models for GNSS ionospheric scintillation forecasting at low latitudes

Language: Python - Size: 1.78 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

viventriglia/scintill-ai

A research project aiming to apply machine learning models for GNSS ionospheric scintillation forecasting at low latitudes

Language: Shell - Size: 1.04 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 4 - Forks: 0

luisadosch/MLPedestrianForecast

A machine learning & deep learning-based probabilistic time series forecasting project to predict pedestrian flow in Würzburg. Uses LSTM, CatBoost, and LightGBM to optimize forecasting accuracy.

Language: HTML - Size: 18.2 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

human-ak/TimeSeriesForecasting_with_Foundation-models

Backtesting popular Foundation models developed by Salesforce, Google, IBM, & Amazon that supports zero shot forecasting.

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Techtonique/ahead

Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)

Language: R - Size: 8.61 MB - Last synced at: 3 days ago - Pushed at: 7 days ago - Stars: 23 - Forks: 6

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

RoushanKhalid/FUTURE_ML_02

A project developed during my internship at Future Interns, where I built a stock price prediction model using LSTM networks. Trained on historical market data, the model forecasts future closing prices and includes data preprocessing, deep learning implementation, performance evaluation, and visual comparisons of actual vs predicted trends.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

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

Axect/HyperbolicLR

Hyperbolic Learning Rate Scheduler

Language: Python - Size: 12.4 MB - Last synced at: 3 days ago - Pushed at: 8 days ago - Stars: 3 - Forks: 1

autogluon/fev

Forecast evaluation library

Language: Python - Size: 180 KB - Last synced at: 7 days ago - Pushed at: 22 days ago - Stars: 74 - Forks: 7

JuanPabloMonDi/Serie-temporal-LATAM-Airlines

Analise dos retornos da companhia aerea LATAM na bolsa chilena usando series temporais . Esse trabalho é o projeto final da disciplina ME607-Series Temporais na UNICAMP

Language: R - Size: 2.57 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

nicolieng/giftcard

This project forecasts gift card purchases for the remainder of 2022 using order data collected between January 1, 2021, and January 14, 2022.

Language: Jupyter Notebook - Size: 9.43 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

epu-ntua/DeepTSF

The DeepTSF time series forecasting repository developed by EPU NTUA within the DeployAI project

Language: Python - Size: 80.3 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 2 - Forks: 1

bcdev/fcwq-wqf

Forecasting Water Quality from Space – Forecast Software

Language: Python - Size: 49.5 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

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

PYFTS/pyFTS

An open source library for Fuzzy Time Series in Python

Language: Python - Size: 63.2 MB - Last synced at: about 9 hours ago - Pushed at: 9 months ago - Stars: 270 - Forks: 56

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

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

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

yyalau/iclr2025_dsof

This is the official repository for the ICLR 2025 Conference Paper - Fast and Slow Streams for Online Time Series Forecasting without Information Leakage.

Language: Python - Size: 1.08 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 3 - Forks: 0

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

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

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

shortthirdman/TimeSeriesForecasting

Tools and methods for analyzing and forecasting time series data using various machine learning and statistical techniques.

Language: Jupyter Notebook - Size: 17.5 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

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

Nirva-Patel/Time-Series-Forecasting

This project aims to forecast gold prices using time series techniques. It includes data preprocessing, model training, and evaluation of methods like ARIMA, SARIMA, LSTM, etc. to identify the best-performing model. The repository contains code, data workflows, and model comparisons.

Language: Jupyter Notebook - Size: 4.95 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

Pu5hk4r/PROJECT-FORCASTING-WIND-ENERGY-GENERATION

A Flask-based web application to forecast wind turbine renewable energy generation using time-series feature engineering and a pre-trained XGBoost model. Users can input custom date ranges and visualize future energy predictions through dynamic Matplotlib plots.

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 2 - Forks: 0

riddhigupta1110/ads

Codes for Practical experiments of Applied Data Science (Semester VIII - Computer Engineering - Mumbai University)

Language: Jupyter Notebook - Size: 612 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

automl/Mamba4Cast

Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based models by leveraging Mamba architecture and synthetic training data to generalize robustly without fine-tuning.

Language: Jupyter Notebook - Size: 3.27 MB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 25 - Forks: 3

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

Samuelson777/Dominos-Predictive-Purchase-Order-System

Optimize ingredient ordering for Dominos with our Predictive Purchase Order System. This project uses historical sales data to forecast demand, ensuring optimal stock levels, reducing waste, and preventing stockouts. Join us in enhancing efficiency!

Language: Jupyter Notebook - Size: 969 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

FouetteBytes/Climate-Forecasting

Time series forecasting solution for predicting agricultural climate variables in Harveston using ensemble LightGBM models with advanced feature engineering. Our approach combines temporal, geographical, and meteorological features to accurately predict temperature, radiation, rainfall, and wind patterns for agricultural planning.

Language: Jupyter Notebook - Size: 7.36 MB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

songqiang321/Time-Series-Papers

This is a repository for collecting papers and code in time series domain.

Size: 292 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 25 - Forks: 5

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

Resources about time series forecasting and deep learning.

Size: 2.16 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 648 - Forks: 60

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

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

davutbayik/bus-usage-forecasting

Time Series Forecasting - Bus Usage Prediction

Language: Jupyter Notebook - Size: 8.6 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

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

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

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

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 10 hours ago - Pushed at: about 2 months ago - Stars: 93 - Forks: 10

BayesTheory/SmurfitKappa-WestRock-Analysis

Análise comparativa usando Machine Learning (séries temporais em Python) e visualização de dados (R) da empre Smurfit Kappa e WestRock, duas gigantes da indústria de embalagens que anunciaram uma fusão. Vaga para DataScience Pleno

Language: Jupyter Notebook - Size: 693 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

codeananda/bitcoin_price_predictor

Predict the price of Bitcoin in the near future with Tensorflow/Keras

Language: Jupyter Notebook - Size: 42.4 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 1

husskhosravi/ML-timeseries-forecasting

Electricity consumption forecasting using multiple Time Series models: Linear Regression, Facebook Prophet, ARIMAX and Exponential Smoothing

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

marcus-24/Stock-Predictor-ML-Training

Machine Learning Operations (MLOps) pipeline for my stock prediction forecast model

Language: Python - Size: 73.2 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

nutimes/som-sam-forecast

Looking ahead: future program cases

Language: R - Size: 2.35 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

AwanRaskall/ml-demand-driven-order-planning

Calculation of the optimal order volume for a given period, taking into account statistical data on demand for products and taking into account scenarios

Size: 7.81 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

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

inEXASCALE/llm-abba

Time series analysis with LLM-ABBA: A symbolic approach

Language: TypeScript - Size: 48.2 MB - Last synced at: 22 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 1

Halsted312/smurphcast

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

Language: Python - Size: 85 KB - Last synced at: 22 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

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: 18 days ago - Pushed at: 18 days ago - Stars: 136 - Forks: 27

KrishBakshi/Time-series-sales-forcating-using-XgBoost

Time series analysis and forcasting using Pyspark and Gradient boosting algorithms. The dataset consists prooducts and their corresponding information on its sales with respect to different stores, discounts and other factors in the dataset. The goal is to make a model to accuately predict sales with minimum error.

Language: Jupyter Notebook - Size: 41.9 MB - Last synced at: 23 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

Rindhujatreesa/foreign-exchange-rate-time-series-forecasting

This repository is a guide to using various time-series analysis models like ARIMA, SARIMA, and SARIMAX in forecasting the exchange rates of 5 currencies as compared to US Dollars

Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: 24 days ago - Pushed at: 25 days ago - Stars: 4 - Forks: 1

msikorski93/Forecasting-Inflation-Rates-of-Poland

Recently inflation is a popular topic in Poland and is highest since 2001. Experts presume inflation in Poland should continue to rise, and by the end of 2021 it will be close to 8%. This notebook aims to develop a forecasting model for time series using Python.

Language: Jupyter Notebook - Size: 2.89 MB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 7

vsingh-group/SimpleTM

Official implementation for "SimpleTM: A Simple Baseline For Multivariate Time Series Forcasting" (ICLR 2025)

Language: Python - Size: 2.13 MB - Last synced at: 18 days ago - Pushed at: 2 months ago - Stars: 18 - Forks: 0

Aashi2608/Deep-Learning

Deep learning projects applying AI models like LSTM, Random Forest, and ARIMA for tasks like electricity demand forecasting and predictive analytics.

Language: Jupyter Notebook - Size: 296 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

pohl-michel/2D-MR-image-prediction

Future frame prediction in 2D cine-MR images using the PCA respiratory motion model and online learning algorithms for RNNs, and time series forecasting using the latter

Language: MATLAB - Size: 304 MB - Last synced at: 43 minutes ago - Pushed at: about 2 hours ago - Stars: 1 - Forks: 0

axlerquiza/market-sentiment-analyzer

A data mining project that analyzes Twitter sentiment and its influence on stock market performance using NLP, clustering, and time series forecasting models.

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 6 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

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

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

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: 27 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

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

paullo0106/prophet_anomaly_detection

Time-series anomaly detection with Facebook Prophet library

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: 28 days ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 6

raj2585/Times-Series-Forecasting

Time Series Forecasting done using two models - ARIMA and LSTM

Language: Jupyter Notebook - Size: 2.38 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

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

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: 30 days ago - Pushed at: 6 months ago - Stars: 1,928 - Forks: 333

Avijit-Jana/Dominos-Predictive_Purchase_Order_System

Domino’s aims to optimize ingredient ordering by predicting future sales using historical data. This will ensure accurate stock levels, minimize waste, prevent stockouts, and streamline purchase orders, enhancing inventory management, cost reduction, sales forecasting, and supply chain efficiency.

Language: Jupyter Notebook - Size: 2.23 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 1 - Forks: 0

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

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

chrisprasanna/Predicting_Seattle_Gas_Prices_with_ML

End-to-end development pipeline for predicting retail gas prices in Seattle using deep learning.

Language: Jupyter Notebook - Size: 28.4 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

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

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: about 1 month ago - Pushed at: 11 months ago - Stars: 2,416 - Forks: 648

ddayto21/Stock-Forecasting

Python repository that uses time-series data from the S&P 500 to train a RandomForestClassifier to predict the probability of a stock price increasing or decreasing. This script is meant for educational purposes only - this is not financial advice. Consult with your financial adviser before making any investments.

Language: Python - Size: 290 KB - Last synced at: 11 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 5

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

larry-ziyue-yin/Automated-Algorithm-Selection-for-Time-series-Forecasting

Automated Algorithm Selection for Time-series Forecasting

Language: Jupyter Notebook - Size: 7.87 MB - Last synced at: 16 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

KrishnaswamyLab/ImageFlowNet

[ICASSP 2025 Oral] ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images

Language: Python - Size: 10.8 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 0

ChenLiu-1996/ImageFlowNet

[ICASSP 2025 Oral] ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images

Language: Python - Size: 10.8 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 0

uzh-rpg/gg_ssms

[CVPR'25] The official implementation of "GG-SSMs: Graph-Generating State Space Models"

Language: Python - Size: 1.17 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

brprojects/Energy-Prediction-ML

Predicted Spanish day-ahead energy demand and price with 97.5% accuracy using a range of ML and statistical time series forecasting models including XGBoost, Transformers, TFTs and SARIMA.

Language: Jupyter Notebook - Size: 52.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

jshiriyev/main-prodpy

A Python package for production forecasting in oil and gas wells. Includes tools for production data analysis, decline curve analysis, time series forecasting, and industry-standard graphical templates for interpretation.

Language: Python - Size: 3.14 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0