The repo holds the code for our final exam project in the course Data Science, Predicting, Forecasting at Cognitive Science, Aarhus University by Klara Fomsgaard and Laura Paaby

An open source time-series database for fast ingest and SQL queries

📈 SiRE (Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data), accepted by CIKM'2022 🗽

The Prometheus monitoring system and time series database.

An open-source, cloud-native, distributed time-series database with PromQL/SQL/Python supported. Available on GreptimeCloud.

A time series database for storing and managing large amounts of blob data

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.

Scalable datastore for metrics, events, and real-time analytics

Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.

Code for "Controlled Differential Equations on Long Sequences via Non-standard Wavelets" paper. ICML23

Implementation of the FNETS methodology proposed in Barigozzi, Cho and Owens (2024) for network estimation and forecasting of high-dimensional time series

A repository containing the deep learning-based geomagnetic storm forecasting model development codes

InSAR phase linking library for PS/DS processing

The data and operations foundation for hardware.

A unified SQL query interface and portable runtime to locally materialize, accelerate, and query datasets from any database, data warehouse, or data lake.

A unified framework for machine learning with time series

Se realiza una serie de tiempo de acciones de CEMEX 2018-2019 con el objetivo de predecir su valor futuro y de esta forma conocer si es viable incluir dicha acción en un portafolio de inversión.

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

Repositorio del proyecto de homogenización de series de Tiempo de Precipitación. Este trabajo se enmarca en la realización del trabajo fin de master del estudiante Nicolas Maldonado del Master en Ciencia de Datos de la Universidad de la Rioja, realizando la automatización de una guia desarrollada por la U. Distrital Francisco Jose de Caldas