exp-time-series-tools Goto Github PK

scikit-dsp-comm

A collection of functions and classes to support signal processing and communications theory teaching and research

sdv

Synthetic Data Generation for tabular, relational, time series data.

sed-crnn

Single and multichannel sound event detection using convolutional recurrent neural networks. DCASE 2017 real-life sound event detection winning method.

seglearn

Python machine learning for time series

segmentationcnn

Music segmentation using convolutional neural networks.

seld-net

Sound event localization, detection, and tracking of multiple overlapping and moving sources in 2D spherical space using convolutional recurrent neural network

series2gaf

simple time series encoding package

shapedtw

A shape-embedded dynamic time warping (DTW) algorithm. To the best of our knowledge, shapeDTW beats all other DTW variants on UCR time series datasets.

simple-hohmm

High Order Hidden Markov Model for accurate sequence classification.

simple-segment

Piecewise linear representation of 1D data in Python

single-word-speech-recognition-using-gmm-hmm-

sit

Systematic Investor Toolkit

sktime

A unified toolbox for machine learning with time series

sleepeegnet

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

smoothfit

Smooth data fitting in N dimensions.

soft-dtw-divergences

An implementation of soft-DTW divergences.

softx_2020_15

MVTS-Data Toolkit: A Python Package for Preprocessing Multivariate Time Series Data. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711020300157

sound-cnn

A convolutional neural network that classifies sounds

sound_event_detection

This code aims at weakly-labeled semi-supervised sound event detection. The code embraces two methods we proposed to solve this task: specialized decision surface (SDS) and disentangled feature (DF) for weakly-supervised learning and guided learning (GL) for semi-supervised learning. We're so glad if you're interested in using it for research purpose or DCASE participation.

spark-sklearn

Scikit-learn integration package for Apache Spark

sparsenilm

The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source code that was use for my IEEE Transactions on Smart Grid journal paper.

spectrum

Spectral Analysis in Python

speech-music-segmentation

This repository consists of unsupervised segmentation of audio files consist of music and speech.

speech_yolo

SpeechYOLO Interspeech 2019

sphinx_rtd_theme

Sphinx theme for readthedocs.org

sqlfsm

Simple SQL finite state machine for Postgres

ssqueezepy

Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python

stackoverflow

stumpy

STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks

supervisely

AI for everyone! :tada: Neural networks, tools and a library we use in Supervisely