rocket VS neural-style-tf

Compare rocket vs neural-style-tf and see what are their differences.

rocket

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels (by angus924)
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rocket neural-style-tf
1 3
399 3,097
- -
1.8 0.0
about 2 years ago over 3 years 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.
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rocket

Posts with mentions or reviews of rocket. We have used some of these posts to build our list of alternatives and similar projects.
  • How can I get the probability of a rocket classifier?
    1 project | /r/learnpython | 28 May 2022
    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:

neural-style-tf

Posts with mentions or reviews of neural-style-tf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-07.

What are some alternatives?

When comparing rocket and neural-style-tf you can also consider the following projects:

tslearn - The machine learning toolkit for time series analysis in Python

ebsynth - Fast Example-based Image Synthesis and Style Transfer

hydra - HYDRA: Competing convolutional kernels for fast and accurate time series classification

animegan2-pytorch - PyTorch implementation of AnimeGANv2

lb - xk media library [Moved to: https://github.com/chapmanjacobd/library]

pytorch-neural-style-transfer - Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

sktime - A unified framework for machine learning with time series

Styleformer - A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification

neural-style-pt - PyTorch implementation of neural style transfer algorithm