hardnet VS catalyst

Compare hardnet vs catalyst and see what are their differences.

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hardnet catalyst
1 1
503 3,223
- 0.7%
0.0 0.0
about 1 year ago about 1 month 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.

hardnet

Posts with mentions or reviews of hardnet. We have used some of these posts to build our list of alternatives and similar projects.
  • Can't find images?
    1 project | /r/StableDiffusion | 6 Sep 2022
    Downloading: "https://github.com/DagnyT/hardnet/raw/master/pretrained/train_liberty_with_aug/checkpoint_liberty_with_aug.pth" to /home/showjdgb/.cache/torch/hub/checkpoints/checkpoint_liberty_with_aug.pth

catalyst

Posts with mentions or reviews of catalyst. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

What are some alternatives?

When comparing hardnet and catalyst you can also consider the following projects:

affnet - Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

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

Person_reID_baseline_pytorch - :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

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.

Text2Poster-ICASSP-22 - Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"

pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming

quaterion - Blazing fast framework for fine-tuning similarity learning models