Super-SloMo VS torchio

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

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Super-SloMo torchio
1 2
2,988 2,161
- 1.4%
0.0 8.9
about 2 years ago 7 days ago
Python Python
MIT License Apache License 2.0
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.

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".

torchio

Posts with mentions or reviews of torchio. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

3d-multi-resolution-rcnn - Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."

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

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

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

Augmentor - Image augmentation library in Python for machine learning.

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Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
influxdata.com
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