This repository contains some Use Cases where the Khiva Library can be applied.
Khiva is an open-source library aimed at analysing time series and its key points are:
- Features extraction.
- Time-series re-dimension.
- Distance comparison.
- Motifs detection.
- Discords detection.
- Similarity study.
- Statistics extraction.
- Time series normalization.
All these features are enhanced with an incredible performance due to the usage of accelerators, as the library can be executed in GPU or/and multicore CPUs.
The main library is developed in C++ and includes bindings for different programming languages. The available languages for using the library are:
- C++
- Python
- R
- Matlab
- Java
This repository provides code, notebooks and presentations that supports and solve a full use case.
In the root directory there are different folders focused on a topic and inside these folders there are directories showing a case study.