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time-series

Reproducible causal inference and econometrics in Python: simulations, quasi-experiments, experiments, causal ML and marketing mix models, with explicit identification assumptions and diagnostics.

R package for Gaussian processes built from first principles: composable covariance kernels, exact GP regression with Cholesky-based numerics, analytical marginal-likelihood gradients, posterior sampling, calibration diagnostics, time-series forecasting, and heteroscedastic and sparse (FITC) extensions.

Source code for shyft.

Time-series for python and c++, including distributed storage and calculations Hydrologic Forecasting Toolbox, high-performance flexible stacks, including calibration Energy-market models and micro services

Python research code for segment-based change point detection, evaluated against human annotations on the Turing Change Point Dataset (TCPD). Constant, linear, mean-and-variance and Bayesian segment models with exact, pruned, greedy and online search are scored by covering and F1, the benchmark's published outputs are replicated, and every number in the accompanying article is checked against the committed results.

Python research toolkit for measuring lateness accumulation, carried delay and recovery within train journeys in Great Britain, with validated event models and synthetic tests.

Python research code comparing interrupted time series (segmented regression) and Bayesian structural time series counterfactuals. Includes a Gibbs-sampled BSTS, Monte Carlo experiments on trends, seasonality, effect shape and triggered launches, and a placebo study of the 1983 UK seat belt law.

Python research code testing Prophet as a forecasting model. Includes random-walk and autocorrelation simulations, a hyperparameter tuning sweep, M4 hourly, weekly and daily benchmarks against naive, ETS, Theta and MSTL, and a rolling-origin evaluation on the Peyton Manning series.

Reproducible Python analysis of heart-rate distributions across people, time, and activity states using NHANES, PhysioNet, and Fitbit data, with Box-Cox modelling, survey-weighted inference, and publication figures.

Profile README of Diogo Ribeiro, lead data scientist, machine learning engineer and professor working on statistical machine learning, time series, causal inference and applied AI.

IOT Dashboard system, isolated by organization. MQTT ingestion (history via a time-series-database), alerts, etc.

A data mining project analyzing hate crime patterns in the United States from 2017 to 2025, using clustering, predictive modeling, and association rule mining.

About Behavioral finance meets machine learning. Early-warning system to forecast S&P 500 downturns using sentiment, volatility, and unemployment data — with SHAP explainability ,Gradio and Hugging Face deployment.

https://huggingface.co/spaces/Artur-Melnyk/Market-Mood-Forecasting

34 free CC-BY financial and macro time series mirrored from FRED, BLS, Freddie Mac, and Treasury. Companion to calcfi.app calculators. Permanent DOIs on Figshare, Zenodo, OSF, Kaggle, Mendeley.

Backend SLA monitoring service that evaluates time series metrics across rolling windows and computes real time system health classifications using FastAPI and SQLAlchemy

The efficient alternative to Neural Networks. Implements SLRM (Segmented Linear Regression Model) for neural compression and non-linear data modeling, achieving high precision with a fraction of the parameters of a traditional ANN.

[2011] Emergency flood forecasting system from Thailand's 2011 crisis. Provided 5-day ARIMA predictions with spatial interpolation across Bangkok, enabling 13 million residents to protect homes when official models failed, shared via public platforms.

[2019-2024] Climate prediction framework using statistical downscaling of GCM data. Combines ARIMA time series, machine learning regression, and stochastic weather generation for 5-day forecasts with spatial interpolation capabilities. The pilot area is the eastern seaboard of Thailand.

Time Series database using an InfluxDB instance for CarbonCollins - Cloud

Time Series database using an Mimir instance for CarbonCollins - Cloud