Pytorch-UNet VS ralis

Compare Pytorch-UNet vs ralis and see what are their differences.

ralis

Code for the paper "Reinforced Active Learning for Image Segmentation" (by ArantxaCasanova)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Pytorch-UNet ralis
2 1
8,358 90
- -
3.9 0.0
2 months ago over 3 years ago
Python Python
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.

Pytorch-UNet

Posts with mentions or reviews of Pytorch-UNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-17.

ralis

Posts with mentions or reviews of ralis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-17.
  • Trying to find resources for "Image Segmentation using RL"
    2 projects | /r/learnmachinelearning | 17 Nov 2021
    I tried searching online but all I could find were some research papers like "reinforced active learning for Image segmentation". So I thought I could mirror this paper but it turned out to be very complicated. There's the code on github which I'm not able to run due to some "file not found error". The link for github code is this : https://github.com/ArantxaCasanova/ralis and for the research paper is this : https://arxiv.org/pdf/2002.06583.pdf.

What are some alternatives?

When comparing Pytorch-UNet and ralis you can also consider the following projects:

mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.

face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch

lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.

Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.

unet-nested-multiple-classification - This repository contains code for a multiple classification image segmentation model based on UNet and UNet++

efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

muzero-general - MuZero

ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL

segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.

BCDU-Net - BCDU-Net : Medical Image Segmentation

Speech-enhancement - Deep learning for audio denoising