Statsmodels: statistical modeling and econometrics in Python
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Updated
May 26, 2024 - Python
Statsmodels: statistical modeling and econometrics in Python
GRASS GIS - free and open-source geospatial processing engine
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Apache HoraeDB (incubating) is a high-performance, distributed, cloud native time-series database.
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Python implementation of k-Shape
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
This tool should help discover different patterns based on similarity measures in historical (financial) data
trend / momentum and other patterns in financial timeseries
Anomaly detection
If you can measure it, consider it predicted
Time series easier, faster, more fun. Pytimetk.
Predict time-series with one line of code.
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
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.
Jupyter Notebooks Collection for Learning Time Series Models
Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.
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