Official PyTorch Implementation for the "A Deep Inverse-Mapping Model for a Flapping Robotic Wing" Paper (ICLR 2025)
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Updated
Dec 16, 2025 - Python
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.
Import and export data into/from InfluxDB.
High-level lib for reading and writing physiological data into mef file format using python wrapper pymef for meflib.
Python package for CITS algorithm: Causal inference from time series data
A collection of data analysis tools for post-processing raw data and getting it into workable formats in python for further analysis
Predict time-series with one line of code.
TSPERF Time Series Database Benchmark Suite. Framework for evaluating and comparing the performance of time series databases, in the spirit of TimescaleDB's TSBS.
VRFF is a Video Registration and Fusion Framework. VRFF effectively alleviates the flickering issues in video stream fusion.
Acquire and process live and historical air quality data without efforts. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into time-series and RDBMS databases, publish to MQTT, output as JSON, or visualize in Grafana. Data sources: Sensor.Community (luftdaten.info), IRCELINE, and OpenAQ.
Python framework to manage time series structured as one-level dictionaries.
Python framework to manage time series
Performant, composable online learning
Basic time-series setup, using "Air Quality" dataset. The Data was recorded from March 2004 to February 2005 (one year) and will enable us to produce the following aggregations using only Redis to do the aggregations and operations on the data
Function to calculate consistency of phase at a given frequency across measurements
Using lstms to predict the Dow Jones Industrial Average(stock index) from news
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