nitime
Time series analysis toolkit
Tools and algorithms for time-series analysis in neuroscience data
Timeseries analysis for neuroscience data
244 stars
32 watching
83 forks
Language: Python
last commit: about 1 year ago
Linked from 2 awesome lists
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A Python package for time series classification and analysis | 1,781 |
| | A Python library for neurophysiological data analysis and signal processing | 284 |
| | A collection of machine learning models and tools for real-time time series data analytics and anomaly detection | 168 |
| | A Python module for statistical learning with an emphasis on time-dependent modeling, providing tools for machine learning, point-process modeling, and optimization. | 495 |
| | A comprehensive time series modeling library with various statistical models and inference methods. | 2,114 |
| | A machine learning tool for time series data analysis and modeling | 573 |
| | An extension to Statsample with time series functions and estimation techniques | 13 |
| | A lightweight framework for working with time series data in Julia | 355 |
| | A collection of examples demonstrating how to work with time series data using TensorFlow's Time Series API | 472 |
| | A package providing an efficient and flexible time series class in Julia. | 101 |
| | Tools for technical analysis of time series data from photovoltaic energy systems | 158 |
| | Measures execution times of Nim code snippets | 35 |
| | A Python library implementing matrix profile algorithms for time series data mining tasks | 363 |
| | A comprehensive R package for time series analysis and forecasting with an emphasis on ease of use and extensive feature set. | 615 |
| | Library for dynamically aggregating large time series data in Plotly figures | 1,053 |