Official PyTorch Implementation for the "A Deep Inverse-Mapping Model for a Flapping Robotic Wing" Paper (ICLR 2025)

Tools to analyze financial timeseries of single assets or portfolios. It is made for daily or less frequent data.

A Jupyter Notebook for openseries

Import and export data into/from InfluxDB.

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Notebook used for the Kaggle Competition on Nasa-Cmapss dataset for the RUL predictions

C++ library for Fearless Timeseries Logging

If you can measure it, consider it predicted

⏳ Time Series Tools R package provides a series of tools to simulate, plot, estimate, select and forecast different time series models.

Time-Series Anomaly Detection Comprehensive Benchmark

Write ambient IoT sensor timeseries data from Pareto Anywhere open source middleware to InfluxDB v2. We believe in an open Internet of Things.

This research project investigates electricity consumption trends in Japan across the residential and industrial sectors from 1990 to 2015, using Ridge and ElasticNet regression models to analyze the elasticity of electricity demand in response to price changes.

Ingest sample Market Orders Data feed from PubNub to Postgres with TimescaleDB extension installed and enabled for time series analysis.

High-level lib for reading and writing physiological data into mef file format using python wrapper pymef for meflib.

NetCDF-CF Geometry and Timeseries Tools for R: https://code.usgs.gov/water/ncdfgeom

Python package for CITS algorithm: Causal inference from time series data

Supporting files for the Advanced Time Series course at CrateDB Academy.

Atmos Viz is a Python-based project designed to analyze, visualize, and predict global temperature trends across various cities and countries using time-series analysis and advanced data science techniques. Leveraging historical climate data, this project integrates machine learning models, geospatial mapping, and interactive visualizations to unco

This repository offers a collection of descriptions and download links for datasets related to Time Series Analysis, including tasks like forecasting, classification, and anomaly detection.

A collection of data analysis tools for post-processing raw data and getting it into workable formats in python for further analysis