sktime-dl
hydra
| sktime-dl | hydra | |
|---|---|---|
| 1 | 1 | |
| 599 | 38 | |
| 0.2% | - | |
| 5.3 | 10.0 | |
| 3 months ago | over 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 only |
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sktime-dl
hydra
-
[D] Audio segmentation - Machine Learning algorithm to segment a audio file into multiple class
train minirocket/hydra, which were designed for time series classification, on the labelled dataset (probably as four one-vs-many problems, eg s1 vs the rest, s2 vs the rest etc)
What are some alternatives?
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
minirocket - MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
tslearn - The machine learning toolkit for time series analysis in Python
rocket - ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
dl-4-tsc - Deep Learning for Time Series Classification
darts - A python library for user-friendly forecasting and anomaly detection on time series.
sktime - A unified framework for machine learning with time series
NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
tidle-brain - TiDLE time-series forecasting in Tensorflow (Google. paper 2023)
Crossformer - Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
fold - 🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.