rocket
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels (by angus924)
hydra
HYDRA: Competing convolutional kernels for fast and accurate time series classification (by angus924)
| rocket | hydra | |
|---|---|---|
| 1 | 1 | |
| 399 | 38 | |
| - | - | |
| 1.8 | 10.0 | |
| about 2 years ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rocket
Posts with mentions or reviews of rocket.
We have used some of these posts to build our list of alternatives
and similar projects.
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How can I get the probability of a rocket classifier?
so I made a simple function to train a Rocket classifier (https://github.com/angus924/rocket). I want to do binary classifications and also plot the ROC curve for that. For the ROC curve I would need the probability scores though. My code is as follows:
hydra
Posts with mentions or reviews of hydra.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-01.
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[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?
When comparing rocket and hydra you can also consider the following projects:
tslearn - The machine learning toolkit for time series analysis in Python
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
lb - xk media library [Moved to: https://github.com/chapmanjacobd/library]
minirocket - MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
neural-style-tf - TensorFlow (Python API) implementation of Neural Style
dl-4-tsc - Deep Learning for Time Series Classification
sktime - A unified framework for machine learning with time series
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
SOPG - Secure-Obscure Password Generator