tabnet VS Super-SloMo

Compare tabnet vs Super-SloMo and see what are their differences.

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tabnet Super-SloMo
8 1
2,480 2,965
0.7% -
4.8 0.0
3 months ago about 1 year ago
Python Python
MIT License MIT License
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.

tabnet

Posts with mentions or reviews of tabnet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-03.

Super-SloMo

Posts with mentions or reviews of Super-SloMo. We have used some of these posts to build our list of alternatives and similar projects.
  • Cop records huge crash with his bodycam.
    1 project | /r/WTF | 27 Jan 2021
    No, this is clearly based on deep training based methods. Traditional algorithms wouldn't have fucked up the text that badly. The artefacts in the video practically scream "i ran this clip thru SuperSloMo".

What are some alternatives?

When comparing tabnet and Super-SloMo you can also consider the following projects:

tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch

AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"

pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

sminterpolate - Make motion interpolated and fluid slow motion videos from the command line.

autogluon - Fast and Accurate ML in 3 Lines of Code

frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.

Linear-Multihead-Attention - Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)

hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

ExtractTable-py - Python library to extract tabular data from images and scanned PDFs

torchio - Medical imaging toolkit for deep learning

torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

XVFI - [ICCV 2021, Oral 3%] Official repository of XVFI