minirocket VS neural-style-tf

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

minirocket

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification (by angus924)
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minirocket neural-style-tf
1 3
267 3,097
- -
10.0 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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minirocket

Posts with mentions or reviews of minirocket. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-01.

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 minirocket and neural-style-tf you can also consider the following projects:

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

ebsynth - Fast Example-based Image Synthesis and Style Transfer

animegan2-pytorch - PyTorch implementation of AnimeGANv2

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.

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.

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

deep-flow

deep-motion-editing - An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

rocket - ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels