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: 2.37 MB - Last synced at: about 1 hour ago - Pushed at: about 2 hours ago - Stars: 0 - Forks: 0

MatthewK84/Time-Series-Textbooks

Time Series Textbooks- This repository aims to provide a host of resources that cover the gamut of time series analysis.

Language: Python - Size: 163 MB - Last synced at: about 6 hours ago - Pushed at: about 7 hours ago - Stars: 81 - Forks: 21

ua-datalab/Workshops

UArizona DataLab Workshops

Language: Jupyter Notebook - Size: 55.8 MB - Last synced at: about 9 hours ago - Pushed at: about 10 hours ago - Stars: 6 - Forks: 2

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: 278 MB - Last synced at: about 21 hours ago - Pushed at: 1 day ago - Stars: 2,789 - Forks: 230

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

Resources about time series forecasting and deep learning.

Size: 966 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 667 - Forks: 61

Ladbaby/PyOmniTS

🔬 A Researcher-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!

Language: Python - Size: 5.54 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 5 - Forks: 2

Koushikphy/Time-Series-Forecasting

Time Series Forecasting with ARIMA

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

jacksoneshbaugh/CS-424-Final-Project

CS 424: Intro to Machine Learning Final Project | Lafayette College

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

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: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

Nixtla/hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Language: Python - Size: 23.2 MB - Last synced at: about 21 hours ago - Pushed at: about 1 month ago - Stars: 665 - Forks: 84

mslawsky/cnn-lstm-time-series-forecasting

This project demonstrates CNN-LSTM hybrid neural networks for time series forecasting using real-world temperature data from Melbourne (1981-1990).

Size: 0 Bytes - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Lucky-akash321/Intelligent-Cloud-Resource-Advisor

The Intelligent Cloud Resource Advisor is an AI-powered tool that helps FinOps teams optimize cloud usage and reduce costs. It analyzes historical data to forecast trends, detect anomalies, and recommend actions. With an interactive dashboard, it delivers clear, explainable insights for smarter cloud management.

Size: 194 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

uzh-rpg/gg_ssms

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

Language: Python - Size: 1.19 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 10 - Forks: 2

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: 7.07 MB - Last synced at: about 4 hours ago - Pushed at: 29 days ago - Stars: 524 - Forks: 121

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: 3.18 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

decisionintelligence/TFB

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Language: Python - Size: 4.68 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 839 - Forks: 61

RajiReddy15/aqi_prediction

Forecasting air pollution (AQI) in Amravati, India using Facebook Prophet. This project demonstrates time series forecasting on resampled real-world data, visualizes predicted vs. actual AQI, and evaluates the impact of PM2.5 levels relative to WHO guidelines.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

mslawsky/dnn-time-series-forecasting

This respository demonstrates deep neural network-based time series forecasting using TensorFlow.

Size: 579 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

mslawsky/learning-rate-optimization

This repository documents the process of finding the optimal learning rate for deep neural networks

Size: 1.92 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

nutimes/som-sam-forecast

Looking ahead: future program cases

Language: R - Size: 2.66 MB - Last synced at: 6 days ago - Pushed at: 6 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: 8 months ago - Stars: 28 - Forks: 2

PeeteKeesel/kaggle-verse

✨My kaggle notebooks

Language: Jupyter Notebook - Size: 73.1 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 3 - Forks: 0

lqzxt/Time-R1

Time-R1 is a two-stage reinforcement fine-tuning framework that trains large language models to perform slow-thinking, step-by-step reasoning for accurate and explainable time series forecasting.

Language: Python - Size: 7.4 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 0

Techtonique/ahead

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

Language: R - Size: 9.12 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 23 - Forks: 6

Brinkley97/applied_time_series_and_machine_learning

Personal Exploration: Time Series Analysis + Forecasting with Machine Learning

Language: Jupyter Notebook - Size: 78.6 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 3 - Forks: 1

autogluon/fev

Forecast evaluation library

Language: Python - Size: 204 KB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 82 - Forks: 9

cure-lab/Awesome-time-series

A comprehensive survey on the time series domains

Size: 953 KB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 532 - Forks: 50

PriorLabs/tabpfn-time-series

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

Language: Jupyter Notebook - Size: 7.99 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 204 - Forks: 14

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: 1.26 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2,596 - Forks: 226

songqiang321/Time-Series-Papers

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

Size: 108 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 29 - Forks: 5

NeilQue/dsci_thesis

Predictive Modeling of Marikina River Water Level using Artificial Neural Networks

Language: Jupyter Notebook - Size: 74.9 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

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: 2 days ago - Pushed at: about 2 years ago - Stars: 671 - Forks: 219

cuge1995/awesome-time-series

list of papers, code, and other resources

Size: 1.03 MB - Last synced at: 5 days ago - Pushed at: 11 months ago - Stars: 991 - Forks: 162

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: 35.1 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - 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: 9 days ago - Pushed at: 9 days ago - Stars: 13 - Forks: 0

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: 9 days ago - Pushed at: over 1 year ago - Stars: 575 - Forks: 93

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: 6 days ago - Pushed at: 25 days ago - Stars: 677 - Forks: 110

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: 12 days ago - Pushed at: over 1 year ago - Stars: 2,219 - Forks: 475

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: 13 days ago - Pushed at: 7 months ago - Stars: 2,033 - Forks: 353

amazon-science/chronos-forecasting

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

Language: Python - Size: 1010 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 3,303 - Forks: 375

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: 12 days ago - Pushed at: 11 months ago - Stars: 2,423 - Forks: 651

time-series-foundation-models/lag-llama

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

Language: Python - Size: 255 KB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 1,438 - Forks: 175

stefanodesaraca/Traffic-Forecasting-System

Language: Python - Size: 757 KB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

OleksandrZadvornyi/marketcap-forecasting

End-to-end market capitalization forecasting system using TimeSeriesTransformer, ARIMA and RNN models with automated data pipeline from Yahoo Finance

Language: Python - Size: 30.7 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

awslabs/gluonts

Probabilistic time series modeling in Python

Language: Python - Size: 13.9 MB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 4,897 - Forks: 785

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: 13 days ago - Pushed at: about 1 year ago - Stars: 68 - Forks: 6

AI4HealthUOL/SSSD

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

Language: Python - Size: 875 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 306 - Forks: 54

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: 15 days ago - Pushed at: about 1 year ago - Stars: 284 - Forks: 102

FilippoMB/python-time-series-handbook

Book and material for the course "Time series analysis with Python" (STA-2003)

Language: Jupyter Notebook - Size: 350 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 141 - Forks: 29

lmmentel/awesome-time-series

Resources for working with time series and sequence data

Size: 171 KB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 596 - Forks: 90

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: 7 months ago - Stars: 550 - Forks: 160

kwuking/TimeMixer

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

Language: Python - Size: 5.26 MB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 1,587 - Forks: 188

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: 19 days ago - Pushed at: 19 days ago - Stars: 1,632 - Forks: 273

PYFTS/pyFTS

An open source library for Fuzzy Time Series in Python

Language: Python - Size: 63.2 MB - Last synced at: 6 days ago - Pushed at: 10 months ago - Stars: 271 - Forks: 56

thuml/AutoTimes

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

Language: Python - Size: 11 MB - Last synced at: 12 days ago - Pushed at: 4 months ago - Stars: 199 - Forks: 17

mbsuraj/stationarityToolkit

Statistical toolkit to make time-series stationary

Language: Python - Size: 17.6 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 1

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: 700 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 616 - Forks: 59

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: 12 days ago - Pushed at: 6 months ago - Stars: 492 - Forks: 39

ForestsKing/Awesome-Multimodal-Time-Series

A curated list of paper, code, data, and other resources focus on multimodal time series analysis.

Size: 10.7 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 83 - Forks: 5

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: 21 days ago - Pushed at: 21 days ago - Stars: 4 - Forks: 0

eai2x/Time-Series-Analysis-Tutorial

time series analysis tutorial

Language: Jupyter Notebook - Size: 83.8 MB - Last synced at: 17 days ago - Pushed at: about 4 years ago - Stars: 902 - Forks: 213

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: 19 days ago - Pushed at: about 1 year ago - Stars: 2,703 - Forks: 531

moment-timeseries-foundation-model/moment

MOMENT: A Family of Open Time-series Foundation Models, ICML'24

Language: TypeScript - Size: 13.3 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 521 - Forks: 80

Krishna-r47/Forecasting_Stock-Price-Value

Detailed insight on Stock price time series dataset through the use of different data analysis techniques and forecasting models.

Size: 842 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

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: 17 days ago - Pushed at: about 5 years ago - Stars: 1,048 - Forks: 439

Akash-Dutta07/FinSight-AI

A Streamlit web app for CAPM analysis and LSTM-based stock price forecasting with MAE/RMSE evaluation and future projections.

Language: Jupyter Notebook - Size: 3.5 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

nla-group/fABBA

A Python library for the fast symbolic approximation of time series

Language: Python - Size: 550 MB - Last synced at: 9 days ago - Pushed at: 27 days ago - Stars: 45 - Forks: 11

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: about 2 hours ago - Pushed at: over 1 year ago - Stars: 150 - Forks: 20

SalesforceAIResearch/uni2ts

Unified Training of Universal Time Series Forecasting Transformers

Language: Jupyter Notebook - Size: 7.11 MB - Last synced at: 22 days ago - Pushed at: 2 months ago - Stars: 1,140 - Forks: 134

msaakaash/Multivariate-Stock-Price-Forecasting Fork of AnikethaPrasad/Multivariate-Stock-Price-Forecasting

This project utilizes LSTM model for multivariate time series analysis to predict Google stock prices

Language: Jupyter Notebook - Size: 45.2 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

LongxingTan/Time-series-prediction

tfts: Time Series Deep Learning Models in TensorFlow

Language: Python - Size: 3 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 853 - Forks: 168

d-f/weather-prediction-app

A demonstration application for LSTM based time series forecasting with NOAA temperature data. Dataset organized with MongoDB, model performance analyzed with SQL (MySQL), REST API created with FastAPI, and application containerized with Docker

Language: Python - Size: 269 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

salesforce/ETSformer

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

Language: Python - Size: 459 KB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 278 - Forks: 43

marcus-24/Stock-Predictor-ML-Training

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

Language: Python - Size: 75.2 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

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: 22 days ago - Pushed at: 5 months ago - Stars: 113 - Forks: 8

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: 20 days ago - Pushed at: 20 days ago - Stars: 2,186 - Forks: 300

CSwebD/machine-learning-techniques-for-predicting-American-Airlines-Stock-using-RNN-model

Investigating machine learning techniques for predicting American Airlines Stock using RNN model

Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: 26 days ago - Pushed at: 26 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: 14.5 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

salesforce/DeepTime 📦

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

Language: Python - Size: 1.25 MB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 360 - Forks: 64

inEXASCALE/llm-abba

Time series analysis with LLM-ABBA: A symbolic approach

Language: TypeScript - Size: 48.4 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 3 - Forks: 2

KimMeen/Awesome-GNN4TS

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

Size: 298 KB - Last synced at: 27 days ago - Pushed at: 10 months ago - Stars: 756 - Forks: 65

Vd1299/NVIDIA_Stock_Prices_Bidirectional_LSTM_network_Analysis

Dual Bidirectional LSTM approach for time series analysis, featuring both regression (next 10 minutes prediction) and classification (direction forecasting) models. Built with TensorFlow/Keras, this implementation provides precise numerical forecasts and actionable directional insights from the Nvidia stock dataset.

Language: Jupyter Notebook - Size: 3.41 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

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: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

kingjosephm/predictive-maintenance-modeler

XGBoost Predictive Maintenance Modeler for Estimating Time-To-Failure

Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

SOSPETER03/tesla-stock-forecasting

Predictive modeling for Tesla stock prices using AR, MA, and ARIMA models. A statistical and time-series analysis project using Python.

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

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: 17 days ago - Pushed at: almost 2 years ago - Stars: 655 - Forks: 125

ggeop/Kaggle-Timeseries-Forecasting

😺 CatBoost Model Per Family

Language: Jupyter Notebook - Size: 72.3 KB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

franmateus/franmateus

Data scientist who loves content creation.

Size: 9.77 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

decisionintelligence/DUET

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

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

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: 21 days ago - Pushed at: 3 months ago - Stars: 379 - Forks: 85

TakuyaShintate/tsts

📈 toolset for time series forecasting

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

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: 17 days ago - Pushed at: about 1 month ago - Stars: 110 - Forks: 3

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

igopalakrishna/nyc-subway-foot-traffic-prediction-and-forecasting

Designed and implemented a scalable real-time analytics pipeline using Apache Kafka, Spark Structured Streaming, and MongoDB to simulate NYC MTA turnstile data and forecast real-time subway foot traffic using SparkML Random Forest models.

Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: 26 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

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: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - 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: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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: 231 KB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Axect/HyperbolicLR

Hyperbolic Learning Rate Scheduler

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